Parallel processing method and apparatus for increasing processing throughout by parallel processing low level instructions having natural concurrencies

ABSTRACT

A computer processing system containing a plurality of processor elements operates on a statically compiled program which, based upon detected natural concurrencies in the basic blocks of the programs, includes intelligence regarding logical processor allocation and an instruction firing time in the instruction stream. Each processor element, in one embodiment, is context free and is capable of executing instructions on a per instruction basis so that dependent instructions can execute on the same or different processor elements. A processor element is capable of executing an instruction from one context followed by an instruction from another context through use of shared storage resources.

BACKGROUND OF THE INVENTION

1. Field of the Invention

This invention generally relates to parallel processor computer systemsand, more particularly, to parallel processor computer systems havingsoftware for detecting natural concurrencies in instruction streams andhaving a plurality of processor elements for processing the detectednatural concurrencies.

2. Description of the Prior Art

Almost all prior art computer systems are of the "Von Neumann"construction. In fact, the first four generations of computers are VonNeumann machines which use a single large processor to sequentiallyprocess data. In recent years, considerable effort has been directedtowards the creation of a fifth generation computer which is not of theVon Neumann type. One characteristic of the so-called fifth generationcomputer relates to its ability to perform parallel computation throughuse of a number of processor elements. With the advent of very largescale integration (VLSI) technology, the economic cost of using a numberof individual processor elements becomes cost effective.

Whether or not an actual fifth generation machine has yet beenconstructed is subject to debate, but various features have been definedand classified. Fifth-generation machines should be capable of usingmultiple-instruction, multiple-data (MIMD) streams rather than simplybeing a single instruction, multiple-data (SIMD) system typical offourth generation machines. The present invention is of thefifth-generation non-Von Neumann type. It is capable of using MIMDstreams in single context (SC-MIMD) or in multiple context (MC-MIMD) asthose terms are defined below. The present invention also findsapplication in the entire computer classification of single and multiplecontext SIMD (SC-SIMD and MC-SIMD) machines as well as single andmultiple context, single-instruction, single data (SC-SISD and MC-SISD)machines.

While the design of fifth-generation computer systems is fully in astate of flux, certain categories of systems have been defined. Someworkers in the field base the type of computer upon the manner in which"control" or "synchronization" of the system is performed. The controlclassification includes control-driven, data-driven, and reduction (ordemand) driven. The control-driven system utilizes a centralized controlsuch as a program counter or a master processor to control processing bythe slave processors. An example of a control-driven machine is theNon-Von-l machine at Columbia University. In data-driven systems,control of the system results from the actual arrival of data requiredfor processing. An example of a data-driven machine is the University ofManchester dataflow machine developed in England by Ian Watson.Reduction driven systems control processing when the processed activitydemands results to occur. An example of a reduction processor is theMAGO reduction machine being developed at the University of NorthCarolina, Chapel Hill. The characteristics of the non-Von-l machine, theManchester machine, and the MAGO reduction machine are carefullydiscussed in Davis, "Computer Architecture," IEEE Spectrum, November,1983. In comparison, data-driven and demand-driven systems aredecentralized approaches whereas control-driven systems represent acentralized approach. The present invention is more properly categorizedin a fourth classification which could be termed "time-driven." Likedata-driven and demand-driven systems, the control system of the presentinvention is decentralized. However, like the control-driven system, thepresent invention conducts processing when an activity is ready forexecution.

Most computer systems involving parallel processing concepts haveproliferated from a large number of different types of computerarchitectures. In such cases, the unique nature of the computerarchitecture mandates or requires either its own processing language orsubstantial modification of an existing language to be adapted for use.To take advantage of the highly parallel structure of such computerarchitectures, the programmer is required to have an intimate knowledgeof the computer architecture in order to write the necessary software.As a result, preparing programs for these machines requires substantialamounts of the users effort, money and time.

Concurrent to this activity, work has also been progressing on thecreation of new software and languages, independent of a specificcomputer architecture, that will expose (in a more direct manner), theinherent parallelism of the computation process. However, most effort indesigning supercomputers has been concentrated in developing newhardware with much less effort directed to developing new software.

Davis has speculated that the best approach to the design of afifth-generation machine is to concentrate efforts on the mapping of theconcurrent program tasks in the software onto the physical hardwareresources of the computer architecture. Davis terms this approach one of"task-allocation" and touts it as being the ultimate key to successfulfifth-generation architectures. He categorizes the allocation strategiesinto two generic types. "Static allocations" are performed once, priorto execution, whereas "dynamic allocations" are performed by thehardware whenever the program is executed or run. The present inventionutilizes a static allocation strategy and provides task allocations fora given program after compilation and prior to execution. Therecognition of the "task allocation" approach in the design of fifthgeneration machines was used by Davis in the design of his "Data-drivenMachine-II" constructed at the University of Utah. In the Data-drivenMachine-II, the program was compiled into a program graph that resemblesthe actual machine graph or architecture.

Task allocation is also referred to as "scheduling" in Gajski et al,"Essential Issues in Multi-processor Systems," Computer, June, 1985.Gajski et al set forth levels of scheduling to include high level,intermediate level, and low level scheduling. The present invention isone of low-level scheduling, but it does not use conventional schedulingpolicies of "first-in-first-out", "round-robin", "shortest type injob-first", or "shortest-remaining-time." Gajski et al also recognizethe advantage of static scheduling in that overhead costs are paid atcompile time. However, Gajewski et al's recognized disadvantage, withrespect to static scheduling, of possible inefficiencies in guessing therun time profile of each task is not found in the present invention.Therefore, the conventional approaches to low-level static schedulingfound in the Occam language and the Bulldog compiler are not found inthe software portion of the present invention. Indeed, the low-levelstatic scheduling of the present invention provides the same type, ifnot better, utilization of the processors commonly seen in dynamicscheduling by the machine at run time. Furthermore, the low-level staticscheduling of the present invention is performed automatically withoutintervention of programmers as required (for example) in the Occamlanguage.

Davis further recognizes that communication is a critical feature inconcurrent processing in that the actual physical topology of the systemsignificantly influences the overall performance of the system.

For example, the fundamental problem found in most data-flow machines isthe large amount of communication overhead in moving data between theprocessors. When data is moved over a bus, significant overhead, andpossible degradation of the system, can result if data must contend foraccess to the bus. For example, the Arvind data-flow machine, referencedin Davis, utilizes an I-structure stream in order to allow the data toremain in one place which then becomes accessible by all processors. Thepresent invention, in one aspect, teaches a method of hardware andsoftware based upon totally coupling the hardware resources therebysignificantly simplifying the communication problems inherent in systemsthat perform multiprocessing.

Another feature of non-Von Neumann type multiprocessor systems is thelevel of granularity of the parallelism being processed. Gajski et alterm this "partitioning." The goal in designing a system, according toGajski et al, is to obtain as much parallelism as possible with thelowest amount of overhead. The present invention performs concurrentprocessing at the lowest level available, the "per instruction" level.The present invention, in another aspect, teaches a method whereby thislevel of parallelism is obtainable without execution time overhead.

Despite all of the work that has been done with multiprocessor parallelmachines, Davis (Id. at 99) recognizes that such software and/orhardware approaches are primarily designed for individual tasks and arenot universally suitable for all types of tasks or programs as has beenthe hallmark with Von Neumann architectures. The present invention setsforth a computer system and method that is generally suitable for manydifferent types of tasks since it operates on the natural concurrenciesexistent in the instruction stream at a very fine level of granularity.

All general purpose computer systems and many special purpose computersystems have operating systems or monitor/control programs which supportthe processing of multiple activities or programs. In some cases thisprocessing occurs simultaneously; in other cases the processingalternates among the activities such that only one activity controls theprocessing resources at any one time. This latter case is often referredto as time sharing, time slicing, or concurrent (versus simultaneous)execution, depending on the particular computer system. Also dependingon the specific system, these individual activities or programs areusually referred to as tasks, processes, or contexts. In all cases,there is a method to support the switching of control among thesevarious programs and between the programs and the operating system,which is usually referred to as task switching, process switching, orcontext switching. Throughout this document, these terms are consideredsynonymous, and the terms context and context switching are generallyused.

The present invention, therefore, pertains to a non-Von Neumann MIMDcomputer system capable of simultaneously operating upon many differentand conventional programs by one or more different users. The naturalconcurrencies in each program are statically allocated, at a very finelevel of granularity, and intelligence is added to the instructionstream at essentially the object code level. The added intelligence caninclude, for example, a logical processor number and an instructionfiring time in order to provide the time-driven decentralized controlfor the present invention. The detection and low level scheduling of thenatural concurrencies and the adding of the intelligence occurs onlyonce for a given program, after conventional compiling of the program,without user intervention and prior to execution. The results of thisstatic allocation are executed on a system containing a plurality ofprocessor elements. In one embodiment of the invention, the processorsare identical. The processor elements, in this illustrated embodiment,contain no execution state information from the execution of previousinstructions, that is, they are context free. In addition, a pluralityof context files, one for each user, are provided wherein the pluralityof processor elements can access any storage resource contained in anycontext file through total coupling of the processor element to theshared resource during the processing of an instruction. In a preferredaspect of the present invention, no condition code or results registersare found on the individual processor elements.

SUMMARY OF INVENTION

The present invention provides a method and a system that is non-VonNeumann and one which is adaptable for use in single or multiple contextSISD, SIMD, and MIMD configurations. The method and system is furtheroperative upon a myriad of conventional programs without userintervention.

In one aspect, the present invention statically determines at a veryfine level of granularity, the natural concurrencies in the basic blocks(BBs) of programs at essentially the object code level and addsintelligence to the instruction stream in each basic block to provide atime driven decentralized control. The detection and low levelscheduling of the natural concurrencies and the addition of theintelligence occurs only once for a given program after conventionalcompiling and prior to execution. At this time, prior to programexecution, the use during later execution of all instruction resourcesis assigned.

In another aspect, the present invention further executes the basicblocks containing the added intelligence on a system containing aplurality of processor elements each of which, in this particularembodiment, does not retain execution state information from prioroperations. Hence, all processor elements in accordance with thisembodiment of the invention are context free. Instructions are selectedfor execution based on the instruction firing time. Each processorelement in this embodiment is capable of executing instructions on aper-instruction basis such that dependent instructions can execute onthe same or different processor elements. A given processor element inthe present invention is capable of executing an instruction from onecontext followed by an instruction from another context. All operatingand context information necessary for processing a given instruction isthen contained elsewhere in the system.

It should be noted that many alternative implementations of context freeprocessor elements are possible. In a non-pipelined implementation eachprocessor element is monolithic and executes a single instruction to itscompletion prior to accepting another instruction.

In another aspect of the invention, the context free processor is apipelined processor element, in which each instruction requires severalmachine instruction clock cycles to complete. In general, during eachclock cycle, a new instruction enters the pipeline and a completedinstruction exists the pipeline, giving an effective instructionexecution time of a single instruction clock cycle. However, it is alsopossible to microcode some instructions to perform complicated functionsrequiring many machine instruction cycles. In such cases the entry ofnew instructions is suspended until the complex instruction completes,after which the normal instruction entry and exit sequence in each clockcycle continues. Pipelining is a standard processor implementationtechnique and is discussed in more detail later.

The system and method of the present invention are described in thefollowing drawing and specification.

DESCRIPTION OF THE DRAWING

Other objects, features, and advantages of the invention will appearfrom the following description taken together with the drawings inwhich:

FIG. 1 is the generalized flow representation of the TOLL software ofthe present invention;

FIG. 2 is a graphic representation of a sequential series of basicblocks found within the conventional compiler output;

FIG. 3 is a graphical presentation of the extended intelligence added toeach basic block according to one embodiment of the present invention;

FIG. 4 is a graphical representation showing the details of the extendedintelligence added to each instruction within a given basic blockaccording to one embodiment of the present invention;

FIG. 5 is the breakdown of the basic blocks into discrete executionsets;

FIG. 6 is a block diagram presentation of the architectural structure ofapparatus according to a preferred embodiment of the present invention;

FIGS. 7a-7c represent an illustration of the network interconnectionsduring three successive instruction firing times;

FIGS. 8-11 are the flow diagrams setting forth features of the softwareaccording to one embodiment of the present invention;

FIG. 12 is a diagram describing one preferred form of the execution setsin the TOLL software;

FIG. 13 sets forth the register file organization according to apreferred embodiment of the present invention;

FIG. 14 illustrates a transfer between registers in different levelsduring a subroutine call;

FIG. 15 sets forth the structure of a logical resource driver (LRD)according to a preferred embodiment of the present invention;

FIG. 16 sets forth the structure of an instruction cache control and ofthe caches according to a preferred embodiment of the present invention;

FIG. 17 sets forth the structure of a PIQ buffer unit and a PIQ businterface unit according to a preferred embodiment of the presentinvention;

FIG. 18 sets forth interconnection of processor elements through thePE-LRD network to a PIQ processor alignment circuit according to apreferred embodiment of the present invention;

FIG. 19 sets forth the structure of a branch execution unit according toa preferred embodiment of the present invention;

FIG. 20 illustrates the organization of the condition code storage of acontext file according to a preferred embodiment of the presentinvention;

FIG. 21 sets forth the structure of one embodiment of a pipelinedprocessor element according to the present invention; and

FIGS. 22(a) through 22(d) set forth the data structures used inconnection with the processor element of FIG. 21.

GENERAL DESCRIPTION 1. Introduction

In the following two sections, a general description of the software andhardware of the present invention takes place. The system of the presentinvention is designed based upon a unique relationship between thehardware and software components. While many prior art approaches haveprimarily provided for multiprocessor parallel processing based upon anew architecture design or upon unique software algorithms, the presentinvention is based upon a unique hardware/software relationship. Thesoftware of the present invention provides the intelligent informationfor the routing and synchronization of the instruction streams throughthe hardware. In the performance of these tasks, the software spatiallyand temporally manages all user accessible resources, for example,general registers, condition code storage registers, memory and stackpointers. The routing and synchronization are performed without userintervention, and do not require changes to the original source code.Additionally, the analysis of an instruction stream to provide theadditional intelligent information for controlling the routing andsynchronization of the instruction stream is performed only once duringthe program preparation process (often called "static allocation") of agiven piece of software, and is not performed during execution (oftencalled "dynamic allocation") as is found in some conventional prior artapproaches. The analysis effected according to the invention is hardwaredependent, is performed on the object code output from conventionalcompilers, and advantageously, is therefore programming languageindependent.

In other words, the software, according to the invention, maps theobject code program onto the hardware of the system so that it executesmore efficiently than is typical of prior art systems. Thus the softwaremust handle all hardware idiosyncrasies and their effects on executionof the program instructions stream. For example, the software mustaccommodate, when necessary, processor elements which are eithermonolithic single cycle or pipelined.

2. General Software Description

Referring to FIG. 1, the software of the present invention, generallytermed "TOLL," is located in a computer processing system 160.Processing system 160 operates on a standard compiler output 100 whichis typically object code or an intermediate object code such as"p-code." The output of a conventional compiler is a sequential streamof object code instructions hereinafter referred to as the instructionstream. Conventional language processors typically perform the followingfunctions in generating the sequential instruction stream:

1. lexical scan of the input text,

2. syntactical scan of the condensed input text including symbol tableconstruction,

3. performance of machine independent optimization including parallelismdetection and vectorization, and

4. an intermediate (PSEUDO) code generation taking into accountinstruction functionality, resources required, and hardware structuralproperties.

In the creation of the sequential instruction stream, the conventionalcompiler creates a series of basic blocks (BBs) which are single entrysingle exit (SESE) groups of contiguous instructions. See, for example,Alfred V. Aho and Jeffery D. Ullman, Principles of Compiler Design,Addison Wesley, 1979, pg. 6, 409, 412-413 and David Gries, CompilerConstruction for Digital Computers, Wiley, 1971. The conventionalcompiler, although it utilizes basic block information in theperformance of its tasks, provides an output stream of sequentialinstructions without any basic block designations. The TOLL software, inthis illustrated embodiment of the present invention, is designed tooperate on the formed basic blocks (BBs) which are created within aconventional compiler. In each of the conventional SESE basic blocksthere is exactly one branch (at the end of the block) and there are nocontrol dependencies. The only relevant dependencies within the blockare those between the resources required by the instructions.

The output of the compiler 100 in the basic block format is illustratedin FIG. 2. Referring to FIG. 1, the TOLL software 110 of the presentinvention being processed in the computer 160 performs three basicdetermining functions on the compiler output 100. These functions are toanalyze the resource usage of the instructions 120, extend intelligencefor each instruction in each basic block 130, and to build executionsets composed of one or more basic blocks 140. The resulting output ofthese three basic functions 120, 130, and 140 from processor 160 is theTOLL software output 150 of the present invention.

As noted above, the TOLL software of the present invention operates on acompiler output 100 only once and without user intervention. Therefore,for any given program, the TOLL software need operate on the compileroutput 100 only once.

The functions 120, 130, 140 of the TOLL software 110 are, for example,to analyze the instruction stream in each basic block for naturalconcurrencies, to perform a translation of the instruction stream ontothe actual hardware system of the present invention, to alleviate anyhardware induced idiosyncrasies that may result from the translationprocess, and to encode the resulting instruction stream into an actualmachine language to be used with the hardware of the present invention.The TOLL software 110 performs these functions by analyzing theinstruction stream and then assigning processor elements and resourcesas a result thereof. In one particular embodiment, the processors arecontext free. The TOLL software 110 provides the "synchronization" ofthe overall system by, for example, assigning appropriate firing timesto each instruction in the output instruction stream.

Instructions can be dependent on one another in a variety of waysalthough there are only three basic types of dependencies. First, thereare procedural dependencies due to the actual structure of theinstruction stream; that is, instructions may follow one another inother than a sequential order due to branches, jumps, etc. Second,operational dependencies are due to the finite number of hardwareelements present in the system. These hardware elements include thegeneral registers, condition code storage, stack pointers, processorelements, and memory. Thus if two instructions are to execute inparallel, they must not require the same hardware element unless theyare both reading that element (provided of course, that the element iscapable of being read simultaneously). Finally, there are datadependencies between instructions in the instruction stream. This formof dependency will be discussed at length later and is particularlyimportant if the processor elements include pipelined processors. Withina basic block, however, only data and operational dependencies arepresent.

The TOLL software 110 must maintain the proper execution of a program.Thus, the TOLL software must assure that the code output 150, whichrepresents instructions which will execute in parallel, generates thesame results as those of the original serial code. To do this, the code150 must access the resources in the same relative sequence as theserial code for instructions that are dependent on one another; that is,the relative ordering must be satisfied. However, independent sets ofinstructions may be effectively executed out of sequence.

In Table 1 is set forth an example of a SESE basic block representingthe inner loop of a matrix multiply routine. While, this example will beused throughout this specification, the teachings of the presentinvention are applicable to any instruction stream. Referring to Table1, the instruction designation is set forth in the right hand column anda conventional object code functional representation, for this basicblock, is represented in the left hand column.

                  TABLE 1                                                         ______________________________________                                        OBJECT CODE    INSTRUCTION                                                    ______________________________________                                        LD R0, (R10) + I0                                                             LD R1, (R11) + I1                                                             MM R0, R1, R2  I2                                                             ADD R2, R3, R3 I3                                                             DEC R4         I4                                                             BRNZR LOOP     I5                                                             ______________________________________                                    

The instruction stream contained within the SESE basic block set forthin Table 1 performs the following functions. In instruction I0, registerR0 is loaded with the contents of memory whose address is contained inR10. The instruction shown above increments the contents of R10 afterthe address has been fetched from R10. The same statement can be madefor instruction I1, with the exception that register R1 is loaded andregister R11 is incremented. Instruction I2 causes the contents ofregisters R0 and R1 to be multiplied and the result is stored inregister R2. In instruction I3, the contents of register R2 and registerR3 are added and the result is stored in register R3. In instruction I4,register R4 is decremented. Instructions I2, I3 and I4 also generate aset of condition codes that reflect the status of their respectiveexecution. In instruction I5, the contents of register R4 are indirectlytested for zero (via the condition codes generated by instruction I4). Abranch occurs if the decrement operation produced a non-zero value;otherwise execution proceeds with the first instruction of the nextbasic block.

Referring to FIG. 1, the first function performed by the TOLL software110 is to analyze the resource usage of the instructions. In theillustrated example, these are instructions I0 through I5 of Table I.The TOLL software 110 thus analyzes each instruction to ascertain theresource requirements of the instruction.

This analysis is important in determining whether or not any resourcesare shared by any instructions and, therefore, whether or not theinstructions are independent of one another. Clearly, mutuallyindependent instructions can be executed in parallel and are termed"naturally concurrent." Instructions that are independent can beexecuted in parallel and do not rely on one another for any informationnor do they share any hardware resources in other than a read onlymanner.

On the other hand, instructions that are dependent on one another can beformed into a set wherein each instruction in the set is dependent onevery other instruction in that set. The dependency may not be direct.The set can be described by the instructions within the set, orconversely, by the resources used by the instructions in the set.Instructions within different sets are completely independent of oneanother, that is, there are no resources shared by the sets. Hence, thesets are independent of one another.

In the example of Table 1, the TOLL software will determine that thereare two independent sets of dependent instructions:

    ______________________________________                                        Set 1:         CC1:       I0, I1, I2, I3                                      Set 2:         CC2:       I4, I5                                              ______________________________________                                    

As can be seen, instructions I4 and I5 are independent of instructionsI0-I3. In set 2, I5 is directly dependent on I4. In set 1, I2 isdirectly dependent on I0 and I1. Instruction I3 is directly dependent onI2 and indirectly dependent on I0 and I1.

The TOLL software of the present invention detects these independentsets of dependent instructions and assigns a condition code group ofdesignation(s), such as CC1 and CC2, to each set. This avoids theoperational dependency that would occur if only one group or set ofcondition codes were available to the instruction stream.

In other words, the results of the execution of instructions I0 and I1are needed for the execution of instruction I2. Similarly, the resultsof the execution of instruction I2 are needed for the execution ofinstruction I3. In performing this analyses, the TOLL software 110determines if an instruction will perform a read and/or a write to aresource. This functionality is termed the resource requirement analysisof the instruction stream.

It should be noted that, unlike the teachings of the prior art, thepresent invention teaches that it is not necessary for dependentinstructions to execute on the same processor element. The determinationof dependencies is needed only to determine condition code sets and todetermine instruction firing times, as will be described later. Thepresent invention can execute dependent instructions on differentprocessor elements, in one illustrated embodiment, because of thecontext free nature of the processor elements and the total coupling ofthe processor elements to the shared resources, such as the registerfiles, as will also be described below.

The results of the analysis stage 120, for the example set forth inTable 1, are set forth in Table 2.

                  TABLE 2                                                         ______________________________________                                        INSTRUCTION                                                                              FUNCTION                                                           ______________________________________                                        I0         Memory Read, Reg. Write, Reg. Read &                                          Write                                                              I1         Memory Read, Reg. Write, Reg. Read &                                          write                                                              I2         Two Reg. Reads, Reg. Write, Set Cond. Code                                    (Set #1)                                                           I3         Two Reg. Reads, Reg. Write, Set Cond. Code                                    (Set #1)                                                           I4         Read Reg., Reg. Write, Set Cond. Code                                         (Set #2)                                                           I5         Read Cond. Code (Set #2)                                           ______________________________________                                    

In Table 2, for instructions I0 and I1, a register is read and writtenfollowed by a memory read (at a distinct address), followed by aregister write. Likewise, condition code writes and register reads andwrites occur for instructions I2 through I4. Finally, instruction I5 isa simple read of a condition code storage register and a resultingbranch or loop.

The second step or pass 130 through the SESE basic block 100 is to addor extend intelligence to each instruction within the basic block. Inthe preferred embodiment of the invention, this is the assignment of aninstruction's execution time relative to the execution times of theother instructions in the stream, the assignment of a processor numberon which the instruction is to execute and the assignment of anyso-called static shared context storage mapping information that may beneeded by the instruction.

In order to assign the firing time to an instruction, the temporal usageof each resource required by the instruction must be considered. In theillustrated embodiment, the temporal usage of each resource ischaracterized by a "free time" and a "load time." The free time is thelast time the resource was read or written by an instruction. The loadtime is the last time the resource was modified by an instruction. If aninstruction is going to modify a resource, it must execute themodification after the last time the resource was used, in other words,after the free time. If an instruction is going to read the resource, itmust perform the read after the last time the resource has been loaded,in other words, after the load time.

The relationship between the temporal usage of each resource and theactual usage of the resource is as follows. If an instruction is goingto write/modify the resource, the last time the resource is read orwritten by other instructions (i.e., the "free time" for the resource)plus one time interval will be the earliest firing time for thisinstruction. The "plus one time interval" comes from the fact that aninstruction is still using the resource during the free time. On theother hand, if the instruction reads a resource, the last time theresource is modified by other instructions (i.e., the load time for theresource) plus one time interval will be the earliest instruction firingtime. The "plus one time interval" comes from the time required for theinstruction that is performing the load to execute.

The discussion above assumes that the exact location of the resourcethat is accessed is known. This is always true of resources that aredirectly named such as general registers and condition code storage.However, memory operations may, in general, be to locations unknown atcompile time. In particular, addresses that are generated by effectiveaddressing constructs fall in this class. In the previous example, ithas been assumed (for the purposes of communicating the basic conceptsof TOLL) that the addresses used by instructions I0 and I1 are distinct.If this were not the case, the TOLL software would assure that onlythose instructions that did not use memory would be allowed to executein parallel with an instruction that was accessing an unknown locationin memory.

The instruction firing time is evaluated by the TOLL software 110 foreach resource that the instruction uses. These "candidate" firing timesare then compared to determine which is the largest or latest time. Thelatest time determines the actual firing time assigned to theinstruction. At this point, the TOLL software 110 updates all of theresources free and load times, to reflect the firing time assigned tothe instruction. The TOLL software 110 then proceeds to analyze the nextinstruction.

There are many methods available for determining inter-instructiondependencies within a basic block. The previous discussion is just onepossible implementation assuming a specific compiler-TOLL partitioning.Many other compiler-TOLL partitionings and methods for determininginter-instruction dependencies may be possible and realizable to oneskilled in the art. Thus, the illustrated TOLL software uses a linkedlist analysis to represent the data dependencies within a basic block.Other possible data structures that could be used are trees, stacks,etc.

Assume a linked list representation is used for the analysis andrepresentation of the inter-instruction dependencies. Each register isassociated with a set of pointers to the instructions that use the valuecontained in that register. For the matrix multiply example in Table 1,the resource usage is set forth in Table 3:

                  TABLE 3                                                         ______________________________________                                        Resource       Loaded By Read By                                              ______________________________________                                        R0             I0        I2                                                   R1             I1        I2                                                   R2             I2        I3                                                   R3             I3        I3, I2                                               R4             I4        I5                                                   R10            I0        I0                                                   R11            I1        I1                                                   ______________________________________                                    

Thus, by following the "Read by" links and knowing the resourceutilization for each instruction, the independencies of Sets 1 and 2,above, are constructed in the analyze instruction stage 120 (FIG. 1) byTOLL 110.

For purposes of analyzing further the example of Table 1, it is assumedthat the basic block commences with an arbitrary time interval in aninstruction stream, such as, for example, time interval T16. In otherwords, this particular basic block in time sequence is assumed to startwith time interval T16. The results of the analysis in stage 120 are setforth in Table 4.

                  TABLE 4                                                         ______________________________________                                        REG      I0     I1       I2   I3     I4   I5                                  ______________________________________                                        R0       T16             T17                                                  R1              T16      T17                                                  R2                       T17  T18                                             R3                            T18                                             R4                                   T16                                      CC1                      T17  T18                                             CC2                                       T17                                 R10      T16                                                                  R11             T16                                                           ______________________________________                                    

The vertical direction in Table 4 represents the general registers andcondition code storage registers. The horizontal direction in the tablerepresents the instructions in the basic block example of Table 1. Theentries in the table represent usage of a register by an instruction.Thus, instruction I0 requires that register R10 be read and written andregister R0 written at time T16, the start of execution of the basicblock.

Under the teachings of the present invention, there is no reason thatregisters R1, R11, and R4 cannot also have operations performed on themduring time T16. The three instructions, I0, I1, and I4, are dataindependent of each other and can be executed concurrently during timeT16. Instruction I2, however, requires first that registers R0 and R1 beloaded so that the results of the load operation can be multiplied. Theresults of the multiplication are stored in register R2. Although,register R2 could in theory be operated on in time T16, instruction I2is data dependent upon the results of loading registers R0 and R1, whichoccurs during time T16. Therefore, the completion of instruction I2 mustoccur during or after time frame T17. Hence, in Table 4 above, the entryT17 for the intersection of instruction I2 and register R2 is underlinedbecause it is data dependent. Likewise, instruction I3 requires data inregister R2 which first occurs during time T17. Hence, instruction I3can operate on register R2 only during or after time T18. Instruction I5depends upon the reading of the condition code storage CC2 which isupdated by instruction I4. The reading of the condition code storage CC2is data dependent upon the results stored in time T16 and, therefore,must occur during or after the next time, T17.

Hence, in stage 130, the object code instructions are assigned"instruction firing times" (IFTs) as set forth in Table 5 based upon theabove analysis.

                  TABLE 5                                                         ______________________________________                                        OBJECT CODE   INSTRUCTION FIRING                                              INSTRUCTION   TIME (IFT)                                                      ______________________________________                                        I0            T16                                                             I1            T16                                                             I2            T17                                                             I3            T18                                                             I4            T16                                                             I5            T17                                                             ______________________________________                                    

Each of the instructions in the sequential instruction stream in a basicblock can be performed in the assigned time intervals. As is clear inTable 5, the same six instructions of Table 1, normally processedsequentially in six cycles, can be processed, under the teachings of thepresent invention, in only three firing times: T16, T17, and T18. Theinstruction firing time (IFT) provides the "time-driven" feature of thepresent invention.

The next function performed by stage 130, in the illustrated embodiment,is to reorder the natural concurrencies in the instruction streamaccording to instruction firing times (IFTs) and then to assign theinstructions to the individual logical parallel processors. It should benoted that the reordering is only required due to limitations incurrently available technology. If true fully associative memories wereavailable, the reordering of the stream would not be required and theprocessor numbers could be assigned in a first come, first servedmanner. The hardware of the instruction selection mechanism could beappropriately modified by one skilled in the art to address this mode ofoperation.

For example, assuming currently available technology, and a system withfour parallel processor elements (PEs) and a branch execution unit (BEU)within each LRD, the processor elements and the branch execution unitcan be assigned, under the teachings of the present invention, as setforth in Table 6 below. It should be noted that the processor elementsexecute all non-branch instructions, while the branch execution unit(BEU) of the present invention executes all branch instructions. Thesehardware circuitries will be described in greater detail subsequently.

                  TABLE 6                                                         ______________________________________                                        Logical Processor Number                                                                       T16      T17       T18                                       ______________________________________                                        0                I0       I2          I3                                      1                I1       --                                                  2                I4       --          --                                      3                --       --          --                                      BEU              --       I5    (delay)                                                                             --                                      ______________________________________                                    

Hence, under the teachings of the present invention, during timeinterval T16, parallel processor elements 0, 1, and 2 concurrentlyprocess instructions I0, I1, and I4 respectively. Likewise, during thenext time interval T17, parallel processor element 0 and the BEUconcurrently process instructions I2 and I5 respectively. And finally,during time interval T18, processor element 0 processes instruction I3.During instruction firing times T16, T17, and T18, parallel processorelement 3 is not utilized in the example of Table 1. In actuality, sincethe last instruction is a branch instruction, the branch cannot occuruntil the last processing is finished in time T18 for instruction I3. Adelay field is built into the processing of instruction I5 so that eventhough it is processed in time interval T17 (the earliest possibletime), its execution is delayed so that looping or branching out occursafter instruction I3 has executed.

In summary, the TOLL software 110 of the present illustrated embodiment,in stage 130, examines each individual instruction and its resourceusage both as to type and as to location (if known) (e.g., Table 3). Itthen assigns instruction firing times (IFTs) on the basis of thisresource usage (e.g., Table 4), reorders the instruction stream basedupon these firing times (e.g., Table 5) and assigns logical processornumbers (LPNs) (e.g., Table 6) as a result thereof.

The extended intelligence information involving the logical processornumber (LPN) and the instruction firing time (IFT) is, in theillustrated embodiment, added to each instruction of the basic block asshown in FIGS. 3 and 4. As will also be pointed out subsequently, theextended intelligence (EXT) for each instruction in a basic block (BB)will be correlated with the actual physical processor architecture ofthe present invention. The correlation is performed by the systemhardware. It is important to note that the actual hardware may containless, the same as, or more physical processor elements than the numberof logical processor elements.

The Shared Context Storage Mapping (SCSM) information in FIG. 4 andattached to each instruction in this illustrated and preferredembodiment of the invention, has a static and a dynamic component. Thestatic component of the SCSM information is attached by the TOLLsoftware or compiler and is a result of the static analysis of theinstruction stream. Dynamic information is attached at execution time bya logical resource drive (LRD) as will be discussed later.

At this stage 130, the illustrated TOLL software 110 has analyzed theinstruction stream as a set of single entry single exit (SESE) basicblocks (BBs) for natural concurrencies that can be processedindividually by separate processor elements (PEs) and has assigned toeach instruction an instruction firing time (IFT) and a logicalprocessor number (LPN). Under the teachings of the present invention,the instruction stream is thus pre-processed by the TOLL software tostatically allocate all processing resources in advance of execution.This is done once for any given program and is applicable to any one ofa number of different program languages such as FORTRAN, COBOL, PASCAL,BASIC, etc.

Referring to FIG. 5, a series of basic blocks (BBs) can form a singleexecution set (ES) and in stage 140, the TOLL software 110 builds suchexecution sets (ESs). Once the TOLL software identifies an execution set500, header 510 and/or trailer 520 information is added at the beginningand/or end of the set. In the preferred embodiment, only headerinformation 510 is attached at the beginning of the set, although theinvention is not so limited.

Under the teachings of the present invention, basic blocks generallyfollow one another in the instruction stream. There may be no need forreordering of the basic blocks even though individual instructionswithin a basic block, as discussed above, are reordered and assignedextended intelligence information. However, the invention is not solimited. Each basic block is single entry and single exit (SESE) withthe exit through a branch instruction. Typically, the branch to anotherinstruction is within a localized neighborhood such as within 400instructions of the branch. The purpose of forming the execution sets(stage 140) is to determine the minimum number of basic blocks that canexist within an execution set such that the number of "instruction cachefaults" is minimized. In other words, in a given execution set, branchesor transfers out of an execution set are statistically minimized. TheTOLL software in stage 140, can use a number of conventional techniquesfor solving this linear programming-like problem, a problem which isbased upon branch distances and the like. The purpose is to define anexecution set as set forth in FIG. 5 so that the execution set can beplaced in a hardware cache, as will be discussed subsequently, tominimize instruction cache faults (i.e., transfers out of the executionset).

What has been set forth above is an example, illustrated using Tables 1through 6, of the TOLL software 110 in a single context application. Inessence, the TOLL software determines the natural concurrencies withinthe instruction streams for each basic block within a given program. TheTOLL software adds, in the illustrated embodiment, an instruction firingtime (IFT) and a logical processor number (LPN) to each instruction inaccordance with the determined natural concurrencies. All processingresources are statically allocated in advance of processing. The TOLLsoftware of the present invention can be used in connection with anumber of simultaneously executing different programs, each programbeing used by the same or different users on a processing system of thepresent invention as will be described and explained below.

3. General Hardware Description

Referring to FIG. 6, the block diagram format of the system architectureof the present invention, termed the TDA system architecture 600,includes a memory sub-system 610 interconnected to a plurality oflogical resource drivers (LRDs) 620 over a network 630. The logicalresource drivers 620 are further interconnected to a plurality ofprocessor elements 640 over a network 650. Finally, the plurality ofprocessor elements 640 are interconnected over a network 670 to theshared resources containing a pool of register set and condition codeset files 660. The LRD-memory network 630, the PE-LRD network 650, andthe PE-context file network 670 are full access networks that could becomposed of conventional crossbar networks, omega networks, banyannetworks, or the like. The networks are full access (non-blocking inspace) so that, for example, any processor element 640 can access anyregister file or condition code storage in any context (as definedhereinbelow) file 660. Likewise, any processor element 640 can accessany logical resource driver 620 and any logical resource driver 620 canaccess any portion of the memory subsystem 610. In addition, the PE-LRDand PE-context file networks are non-blocking in time. In other words,these two networks guarantee access to any resource from any resourceregardless of load conditions on the network. The architecture of theswitching elements of the PE-LRD network 650 and the PE-context filenetwork 670 are considerably simplified since the TOLL softwareguarantees that collisions in the network will never occur. The diagramof FIG. 6 represents an MIMD system wherein each context file 660corresponds to at least one user program.

The memory subsystem 610 can be constructed using a conventional memoryarchitecture and conventional memory elements. There are many sucharchitectures and elements that could be employed by a person skilled inthe art and which would satisfy the requirements of this system. Forexample, a banked memory architecture could be used. (High Speed MemorySystems, A. V. Pohm and O. P. Agrawal, Reston Publishing Co., 1983.)

The logical resource drivers 620 are unique to the system architecture600 of the present invention. Each illustrated LRD provides the datacache and instruction selection support for a single user (who isassigned a context file) on a timeshared basis. The LRDs receiveexecution sets from the various users wherein one or more execution setsfor a context are stored on an LRD. The instructions within the basicblocks of the stored execution sets are stored in queues based on thepreviously assigned logical processor number. For example, if the systemhas 64 users and 8 LRDs, 8 users would share an individual LRD on atimeshared basis. The operating system determines which user is assignedto which LRD and for how long. The LRD is detailed at lengthsubsequently.

The processor elements 640 are also unique to the TDA systemarchitecture and will be discussed later. These processor elements inone particular aspect of the invention display a context free stochasticproperty in which the future state of the system depends only on thepresent state of the system and not on the path by which the presentstate was achieved. As such, architecturally, the context free processorelements are uniquely different from conventional processor elements intwo ways. First, the elements have no internal permanent storage orremnants of past events such as general purpose registers or programstatus words. Second, the elements do not perform any routing orsynchronization functions. These tasks are performed by the TOLLsoftware and are implemented in the LRDs. The significance of thearchitecture is that the context free processor elements of the presentinvention are a true shared resource to the LRDs. In another preferredparticular embodiment of the invention wherein pipelined processorelements are employed, the processors are not strictly context free aswas described previously.

Finally, the register set and condition code set files 660 can also beconstructed of commonly available components such as AMD 29300 seriesregister files, available from Advanced Micro Devices, 901 Thompson Pl.,P.O. Box 3453, Sunnyvale, Calif. 94088. However, the particularconfiguration of the files 660 illustrated in FIG. 6 is unique under theteachings of the present invention and will be discussed later.

The general operation of the present invention, based upon the exampleset forth in Table 1, is illustrated with respect to theprocessor-context register file communication in FIGS. 7a, 7b, and 7c.As mentioned, the time-driven control of the present illustratedembodiment of the invention is found in the addition of the extendedintelligence relating to the logical processor number (LPN) and theinstruction firing time (IFT) as specifically set forth in FIG. 4. FIG.7 generally represents the configuration of the processor elements PE0through PE3 with registers R0 through R5, . . . , R10 and R11 of theregister set and condition code set file 660.

In explaining the operation of the TDA system architecture 600 for thesingle user example in Table 1, reference is made to Tables 3 through 5.In the example, for instruction firing time T16, the context file-PEnetwork 670 interconnects processor element PE0 with registers R0 andR10, processor element PE1 with registers R1 and R1l, and processorelement PE2 with register R4. Hence, during time T16, the threeprocessor elements PE0, PE1, and PE2 process instructions I0, I1, and I4concurrently and store the results in registers R0, R10, R1, R11, andR4. During time T16, the LRD 620 selects and delivers the instructionsthat can fire (execute) during time T17 to the appropriate processorelements. Referring to FIG. 7b, during instruction firing time T17, onlyprocessor element PE0, which is now assigned to process instruction I2interconnects with registers R0, R1, and R2. The BEU (not shown in FIGS.7a, 7b, and 7c) is also connected to the condition code storage.Finally, referring to FIG. 7c, during instruction firing time T18,processor element PE0 is connected to registers R2 and R3.

Several important observations need to be made. First, when a particularprocessor element (PE) places results of its operation in a register,any processor element, during a subsequent instruction firing time(IFT), can be interconnected to that register as it executes itsoperation. For example, processor element PE1 for instruction I1 loadsregister R1 with the contents of a memory location during IFT T16 asshown in FIG. 7a. During instruction firing time T17, processor elementPE0 is interconnected with register R1 to perform an additionaloperation on the results stored therein. Under the teachings of thepresent invention, each processor element (PE) is "totally coupled" tothe necessary registers in the register file 660 during any particularinstruction firing time (IFT) and, therefore, there is no need to movethe data out of the register file for delivery to another resource; e.g.in another processor's register as in some conventional approaches.

In other words, under the teachings of the present invention, eachprocessor element can be totally coupled, during any individualinstruction firing time, to any shared register in files 660. Inaddition, under the teachings of the present invention, none of theprocessor elements has to contend (or wait) for the availability of aparticular register or for results to be placed in a particular registeras is found in some prior art systems. Also, during any individualfiring time, any processor element has full access to any configurationof registers in the register set file 660 as if such registers were itsown internal registers.

Hence, under the teachings of the present invention, the intelligenceadded to the instruction stream is based upon detected naturalconcurrencies within the object code. The detected concurrencies areanalyzed by the TOLL software, which in one illustrated embodimentlogically assigns individual logical processor elements (LPNs) toprocess the instructions in parallel, and unique firing times (IFTs) sothat each processor element (PE), for its given instruction, will haveall necessary resources available for processing according to itsinstruction requirements. In the above example, the logical processornumbers correspond to the actual processor assignment, that is, LPN0corresponds to PE0, LPN1 to PE1, LPN2 to PE2, and LPN3 to PE3. Theinvention is not so limited since any order such as LPN0 to PE1, LPN1 toPE2, etc. could be used. Or, if the TDA system had more or less thanfour processors, a different assignment could be used as will bediscussed.

The timing control for the TDA system is provided by the instructionfiring times, that is, the system is timedriven. As can be observed inFIGS. 7a through 7c, during each individual instruction firing time, theTDA system architecture composed of the processor elements 640 and thePE-register set file network 670, takes on a new and unique particularconfiguration fully adapted to enable the individual processor elementsto concurrently process instructions while making full use of all theavailable resources. The processor elements can be context free andthereby data, condition, or information relating to past processing isnot required, nor does it exist, internally to the processor element.The context free processor elements react only to the requirements ofeach individual instruction and are interconnected by the hardware tothe necessary shared registers.

4. Summary

In summary, the TOLL software 110 for each different program or compileroutput 100 analyzes the natural concurrencies existing in each singleentry, single exit (SESE) basic block (BB) and adds intelligence,including in one illustrated embodiment, a logical processor number(LPN) and an instruction firing time (IFT), to each instruction. In anMIMD system of the present invention as shown in FIG. 6, each contextfile would contain data from a different user executing a program. Eachuser is assigned a different context file and, as shown in FIG. 7, theprocessor elements (PEs) are capable of individually accessing thenecessary resources such as registers and condition codes storagerequired by the instruction. The instruction itself carries the sharedresource information (that is, the registers and condition codestorage). Hence, the TOLL software statically allocates only once foreach program the necessary information for controlling the processing ofthe instruction in the TDA system architecture illustrated in FIG. 6 toinsure a time-driven decentralized control wherein the memory, thelogical resource drivers, the processor elements, and the context sharedresources are totally coupled through their respective networks in apure, non-blocking fashion.

The logical resource drivers (LRDs) 620 receive the basic blocks formedin an execution set and are responsible for delivering each instructionto the selected processor element 640 at the instruction firing time(IFT). While the example shown in FIG. 7 is a simplistic representationfor a single user, it is to be expressly understood that the delivery bythe logical resource driver 620 of the instructions to the processorelements 640, in a multi-user system, makes full use of the processorelements as will be fully discussed subsequently. Because the timing andthe identity of the shared resources and the processor elements are allcontained within the extended intelligence added to the instructions bythe TOLL software, each processor element 640 can be completely (or insome instances substantially) context free and, in fact, frominstruction firing time to instruction firing time can processindividual instructions of different users as delivered by the variouslogical resource drivers. As will be explained, in order to do this, thelogical resource drivers 620, in a predetermined order, deliver theinstructions to the processor elements 640 through the PELRD network650.

It is the context free nature of the processor elements which allows theindependent access by any processor element of the results of datageneration/manipulation from any other processor element following thecompletion of each instruction execution. In the case of processorswhich are not context free, in order for one processor to access datacreated by another, specific actions (usually instructions which movedata from general purpose registers to memory) are required in order toextract the data from one processor and make it available to another.

It is also the context free nature of the processor elements thatpermits the true sharing of the processor elements by multiple LRDs.This sharing can be as finegrained as a single instruction cycle. Noprogramming or special processor operations are needed to save the stateof one context (assigned to one LRD), which has control of one or moreprocessor elements, in order to permit control by another context(assigned to a second LRD). In processors which are not context free,which is the case for the prior art, specific programming and specialmachine operations are required in such state-saving as part of theprocess of context switching.

There is one additional alternative in implementing the processorelements of the present invention, which is a modification to thecontext free concept: an implementation which provides the physicallytotal interconnection discussed above, but which permits, under programcontrol, a restriction upon the transmission of generated data to theregister file following completion of certain instructions.

In a fully context free implementation, at the completion of eachinstruction which enters the processor element, the state of the contextis entirely captured in the context storage file. In the alternativecase, transmission to the register file is precluded and the data isretained within the processor and made available (for example, throughdata chaining) to succeeding instructions which further manipulate thedata. Ultimately, data is transmitted to the register file after somefinite sequence of instructions completes; however, it is only the finaldata that is transmitted.

This can be viewed as a generalization of the case of a microcodedcomplex instruction as described above, and can be considered asubstantially context free processor element implementation. In such animplementation, the TOLL software would be required to ensure thatdependent instructions execute on the same processor element until suchtime as data is ultimately transmitted to the context register file. Aswith pipelined processor elements, this does not change the overallfunctionality and architecture of the TOLL software, but mainly affectsthe efficient scheduling of instructions among processor elements tomake optimal use of each instruction cycle on all processor elements.

DETAILED DESCRIPTION

1. Detailed Description of Software

In FIGS. 8 through 11, the details of the TOLL software 110 of thepresent invention are set forth. Referring to FIG. 8, the conventionaloutput from a compiler is delivered to the TOLL software at the startstage 800. The following information is contained within theconventional compiler output 800: (a) instruction functionality, (b)resources required by the instruction, (c) locations of the resources(if possible), and (d) basic block boundaries. The TOLL software thenstarts with the first instruction at stage 810 and proceeds to determine"which" resources are used in stage 820 and "how" the resources are usedin stage 830. This process continues for each instruction within theinstruction stream through stages 840 and 850 as was discussed in theprevious section.

After the last instruction is processed, as tested in stage 840, a tableis constructed and initialized with the "free time" and "load time" foreach resource. Such a table is set forth in Table 7 for the inner loopmatrix multiply example and at initialization, the table contains allzeros. The initialization occurs in stage 860 and once constructed theTOLL software proceeds to start with the first basic block in stage 870.

                  TABLE 7                                                         ______________________________________                                        Resource      Load Time Free Time                                             ______________________________________                                        R0            T0        T0                                                    R1            T0        T0                                                    R2            T0        T0                                                    R3            T0        T0                                                    R4            T0        T0                                                    R10           T0        T0                                                    R11           T0        T0                                                    ______________________________________                                    

Referring to FIG. 9, the TOLL software continues the analysis of theinstruction stream with the first instruction of the next basic block instage 900. As stated previously, TOLL performs a static analysis of theinstruction stream. Static analysis assumes (in effect) straight linecode, that is, each instruction is analyzed as it is seen in asequential manner. In other words, static analysis assumes that a branchis never taken. For non-pipelined instruction execution, this is not aproblem, as there will never be any dependencies that arise as a resultof a branch. Pipelined execution is discussed subsequently (although, itcan be stated that the use of pipelining will only affect the delayvalue of the branch instruction).

Clearly, the assumption that a branch is never taken is incorrect.However, the impact of encountering a branch in the instruction streamis straightforward. As stated previously, each instruction ischaracterized by the resources (or physical hardware elements) it uses.The assignment of the firing time (and in the illustrated embodiment,the logical processor number) is dependent on how the instruction streamaccesses these resources. Within this particular embodiment of the TOLLsoftware, the usage of each resource is represented, as noted above, bydata structures termed the free and load times for that resource. Aseach instruction is analyzed in sequence, the analysis of a branchimpacts these data structures in the following manner.

When all of the instructions of a basic block have been assigned firingtimes, the maximum firing time of the current basic block (the one thebranch is a member of) is used to update all resources load and freetimes (to this value). When the next basic block analysis begins, theproposed firing time is then given as the last maximum value plus one.Hence, the load and free times for each of the register resources R0through R4, R10 and R11 are set forth below in Table 8, for the example,assuming the basic block commences with a time of T16.

                  TABLE 8                                                         ______________________________________                                        Resource      Load Time Free Time                                             ______________________________________                                        R0            T15       T15                                                   R1            T15       T15                                                   R2            T15       T15                                                   R3            T15       T15                                                   R4            T15       T15                                                   R10           T15       T15                                                   R11           T15       T15                                                   ______________________________________                                    

Hence, the TOLL software sets a proposed firing time (PFT) in stage 910to the maximum firing time plus one of the previous basic blocks firingtimes. In the context of the above example, the previous basic block'slast firing time is T15, and the proposed firing time for theinstructions in this basic block commence with T16.

In stage 920, the first resource used by the first instruction, which inthis case is register R0 of instruction I0, is analyzed. In stage 930, adetermination is made as to whether or not the resource is read. In theabove example, for instruction I0, register R0 is not read but iswritten and, therefore, stage 940 is next entered to make thedetermination of whether or not the resource is written. In this case,instruction I0 writes into register R0 and stage 942 is entered. Stage942 makes a determination as to whether the proposed firing time (PFT)for instruction I0 is less than or equal to the free time for theresource. In this case, referring to Table 8, the resource free time forregister R0 is T15 and, therefore, the instruction proposed firing timeof T16 is greater than the resource free time of T15 and thedetermination is "no" and stage 950 is accessed.

The analysis by the TOLL software proceeds to the next resource which inthe case, for instruction I0, is register R10. This resource is bothread and written by the instruction. Stage 930 is entered and adetermination is made as to whether or not the instruction reads theresource. It does, so stage 932 is entered where a determination is madeas to whether the current proposed firing time for the instruction (T16)is less than the resource load time (T15). It is not, so stage 940 isentered. Here a determination is made as to whether the instructionwrites the resource. It does; so stage 942 is entered. In this stage adetermination is made as to whether the proposed firing time for theinstruction (T16) is less than the free time for the resource (T15). Itis not, and stage 950 is accessed. The analysis by the TOLL softwareproceeds either to the next resource (there is none for instruction I0)or to "B" (FIG. 10) if the last resource for the instruction has beenprocessed.

Hence, the answer to the determination at stage 950 is affirmative andthe analysis then proceeds to FIG. 10. In FIG. 10, the resource free andload times will be set. At stage 1000, the first resource forinstruction I0 is register R0. The first determination in stage 1010 iswhether or not the instruction reads the resource. As before, registerR0 in instruction I0 is not read but written and the answer to thisdetermination is "no" in which case the analysis then proceeds to stage1020. In stage 1020, the answer to the determination as to whether ornot the resource is written is "yes" and the analysis proceeds to stage1022. Stage 1022 makes the determination as to whether or not theproposed firing time for the instruction is greater than the resourceload time. In the example, the proposed firing time is T16 and, withreference back to Table 8, the firing time T16 is greater than the loadtime T15 for register R0. Hence, the response to this determination is"yes" and stage 1024 is entered. In stage 1024, the resource load timeis set equal to the instruction's proposed firing time and the table ofresources (Table 8) is updated to reflect that change. Likewise, stage1026 is entered and the resource free-time is updated and set equal tothe instruction's proposed firing time plus one or T17 (T16 plus one).

Stage 1030 is then entered and a determination made as to whether thereare any further resources used by this instruction. There is one,register R10, and the analysis processes this resource. The nextresource is acquired at stage 1070. Stage 1010 is then entered where adetermination is made as to whether or not the resource is read by theinstruction. It is and so stage 1012 is entered where a determination ismade as to whether the current proposed firing time (T16) is greaterthan the resource's free-time (T15). It is, and therefore stage 1014 isentered where the resource's free-time is updated to reflect the use ofthis resource by this instruction. The method next checks at stage 1020whether the resource is written by the instruction. It is, and so stage1022 is entered where a determination is made as to whether or not thecurrent proposed firing time (T16) is greater than the load time of theresource (T15). It is, so stage 1024 is entered. In this stage, theresource's load-time is updated to reflect the firing time of theinstruction, that is, the load-time is set to T16. Stage 1026 is thenentered where the resource's free-time is updated to reflect theexecution of the instruction, that is, the free-time is set to T17.Stage 1030 is then entered where a determination is made as to whetheror not this is the last resource used by the instruction. It is, andtherefore, stage 1040 is entered. The instruction firing time (IFT) isnow set to equal the proposed firing time (PFT) of T16. Stage 1050 isthen accessed which makes a determination as to whether or not this isthe last instruction in the basic block, which in this case is "no"; andstage 1060 is entered to proceed to the next instruction, I1, whichenters the analysis stage at "Al" of FIG. 9.

The next instruction in the example is I1 and the identical analysis ishad for instruction I1 for registers R1 and R11 as presented forinstruction I0 with registers R0 and R10. In Table 9 below, a portion ofthe resource Table 8 is modified to reflect these changes. (InstructionsI0 and I1 have been fully processed by the TOLL software.)

                  TABLE 9                                                         ______________________________________                                        Resource      Load Time Free Time                                             ______________________________________                                        R0            T16       T17                                                   R1            T16       T17                                                   R10           T16       T17                                                   R11           T16       T17                                                   ______________________________________                                    

The next instruction in the basic block example is instruction I2 whichinvolves a read of registers R0 and R1 and a write into register R2.Hence, in stage 910 of FIG. 9, the proposed firing time for theinstruction is set to T16 (T15 plus 1). Stage 920 is then entered andthe first resource in instruction I2 is register R0. The firstdetermination made in stage 930 is "yes" and stage 932 is entered. Atstage 932, a determination is made whether the instruction's proposedfiring time of T16 is less than or equal to the resource register R0load time of T16. It is important to note that the resource load timefor register R0 was updated during the analysis of register R0 forinstruction I0 from time T15 to time T16. The answer to thisdetermination in stage 932 is that the proposed firing time equals theresource load time (T16 equals T16) and stage 934 is entered. In stage934, the instruction proposed firing time is updated to equal theresource load time plus one or, in this case, T17 (T16 plus one). Theinstruction I2 proposed firing time is now updated to T17. Now stage 940is entered and since instruction I2 does not write resource R0, theanswer to the determination is "no" and stage 950 and then stage 960 areentered to process the next resource which in this case is register R1.

Stage 960 initiates the analysis to take place for register R1 and adetermination is made in stage 930 whether or not the resource is read.The answer, of course, is "yes" and stage 932 is entered. This time theinstruction proposed firing time is T17 and a determination is madewhether or not the instruction proposed firing time of T17 is less thanor equal to the resource load time for register R1 which is T16. Sincethe instruction proposed firing time is greater than the register loadtime (T17 is greater than T16), the answer to this determination is "no"and stage 940. The register is not written by this instruction and,therefore, the analysis proceeds to stage 950. The next resource to beprocessed for instruction I2, in stage 960, is resource register R2.

The first determination of stage 930 is whether or not this resource R2is read. It is not and hence the analysis moves to stage 940 and then tostage 942. At this point in time the instruction I2 proposed firing timeis T17 and in stage 942 a determination is made whether or not theinstruction's proposed firing time of T17 is less than or equal toresources, R2 free time which in Table 8 above is T15. The answer tothis determination is "no" and therefore stage 950 is entered. This isthe last resource processed for this instruction and the analysiscontinues in FIG. 10.

Referring to FIG. 10, the first resource R0 for instruction I2 isanalyzed. In stage 1010, the determination is made whether or not thisresource is read and the answer is "yes." Stage 1012 is then entered tomake the determination whether the proposed firing time T17 ofinstruction I2 is greater than the resource free-time for register R0.In Table 9, the free-time for register R0 is T17 and the answer to thedetermination is "no" since both are equal. Stage 1020 is then enteredwhich also results in a "no" answer transferring the analysis to stage1030. Since this is not the last resource to be processed forinstruction I2, stage 1070 is entered to advance the analysis to thenext resource register R1. Precisely the same path through FIG. 10occurs for register R1 as for register R0. Next, stage 1070 initiatesprocessing of register R2. In this case, the answer to the determinationat stage 1010 is "no" and stage 1020 is accessed. Since register R2 forinstruction I2 is written, stage 1022 is accessed. In this case, theproposed firing time of instruction I2 is T17 and the resource load-timeis T15 from Table 8. Hence, the proposed firing time is greater than theload time and stage 1024 is accessed. Stages 1024 and 1026 cause theload time and the free time for register R2 to be advanced,respectively, to T17 and T18, and the resource table is updated as shownin FIG. 10:

                  TABLE 10                                                        ______________________________________                                        Resource      Load-Time Free-Time                                             ______________________________________                                        R0            T16       T17                                                   R1            T16       T17                                                   R2            T17       T18                                                   ______________________________________                                    

As this is the last resource processed, for instruction I2, the proposedfiring time of T17 becomes the actual firing time (stage 1040) and thenext instruction is analyzed.

It is in this fashion that each of the instructions in the inner loopmatrix multiply example are analyzed so that when fully analyzed thefinal resource table appears as in Table 11 below:

                  TABLE 11                                                        ______________________________________                                        Resource      Load-Time Free-Time                                             ______________________________________                                        R0            T16       T17                                                   R1            T16       T17                                                   R2            T17       T18                                                   R3            T18       T19                                                   R4            T16       T17                                                   R10           T16       T17                                                   R11           T16       T17                                                   ______________________________________                                    

Referring to FIG. 11, the TOLL software, after performing the tasks setforth in FIGS. 9 and 10, enters stage 1100. Stage 1100 sets all resourcefree and load times to the maximum of those within the given basicblock. For example, the maximum time set forth in Table 11 is T19 and,therefore, all free and load times are set to time T19. Stage 1110 isthen entered to make the determination whether this is the last basicblock to be processed. If not, stage 1120 is entered to proceed with thenext basic block. If this is the last basic block, stage 1130 is enteredand starts again with the first basic block in the instruction stream.The purpose of this analysis is to logically reorder the instructionswithin each basic block and to assign logical processor numbers to eachinstruction. This is summarized in Table 6 for the inner loop matrixmultiply example. Stage 1140 performs the function of sorting theinstruction in each basic block in ascending order using the instructionfiring time (IFT) as the basis. Stage 1150 is then entered wherein thelogical processor numbers (LPNs) are assigned. In making the assignmentof the processor elements, the instructions of a set, that is thosehaving the same instruction firing time (IFT), are assigned logicalprocessor numbers on a first come, first serve basis. For example, inreference back to Table 6, the first set of instructions for firing timeT16 are I0, I1, and I4. These instructions are assigned respectively toprocessors PE0, PE1, and PE2. Next, during time T17, the second set ofinstructions I2 and I5 are assigned to processors PE0 and PE1,respectively. Finally, during the final time T18, the final instructionI3 is assigned to processor PE0. It is to be expressly understood thatthe assignment of the processor elements could be effected using othermethods and is based upon the actual architecture of the processorelement and the system. As is clear, in the preferred embodiment the setof instructions are assigned to the logical processors on a first intime basis. After making the assignment, stage 1160 is entered todetermine whether or not the last basic block has been processed and ifnot, stage 1170 brings forth the next basic block and the process isrepeated until finished.

Hence, the output of the TOLL software, in this illustrated embodiment,results in the assignment of the instruction firing time (IFT) for eachof the instructions as shown in FIG. 4. As previously discussed, theinstructions are reordered, based upon the natural concurrenciesappearing in the instruction stream, according to the instruction firingtimes; and, then, individual logical processors are assigned as shown inTable 6. While the discussion above has concentrated on the inner loopmatrix multiply example, the analysis set forth in FIGS. 9 through 11can be applied to any SESE basic block (BB) to detect the naturalconcurrencies contained therein and then to assign the instructionfiring times (IFTs) and the logical processor numbers (LPNs) for eachuser's program. This intelligence can then be added to the reorderedinstructions within the basic block. This is only done once for a givenprogram and provides the necessary time-driven decentralized control andprocessor mapping information to run on the TDA system architecture ofthe present invention.

The purpose of the execution sets, referring to FIG. 12, is to optimizeprogram execution by maximizing instruction cache hits within anexecution set or, in other words, to statically minimize transfers by abasic block within an execution set to a basic block in anotherexecution set. Support of execution sets consists of three majorcomponents: data structure definitions, pre-execution time softwarewhich prepares the execution set data structures, and hardware tosupport the fetching and manipulation of execution sets in the processof executing the program.

The execution set data structure consists of a set of one or more basicblocks and an attached header. The header contains the followinginformation: the address 1200 of the start of the actual instructions(this is implicit if the header has a fixed length), the length 1210 ofthe execution set (or the address of the end of the execution set), andzero or more addresses 1220 of potential successor (in terms of programexecution) execution sets.

The software required to support execution sets manipulates the outputof the post-compile processing. That processing performs dependencyanalysis, resource analysis, resource assignment, and individualinstruction stream reordering. The formation of execution sets uses oneor more algorithms for determining the probable order and frequency ofexecution of the basic blocks. The basic blocks are grouped accordingly.The possible algorithms are similar to the algorithms used in solvinglinear programming problems for least-cost routing. In the case ofexecution sets, cost is associated with branching. Branching betweenbasic blocks contained in the same execution set incurs no penalty withrespect to cache operations because it is assumed that the instructionsfor the basic blocks of an execution set are resident in the cache inthe steady state. Cost is then associated with branching between basicblocks of different execution sets, because the instructions of thebasic blocks of a different execution set are assumed not to be incache. Cache misses delay program execution while the retrieval andstorage of the appropriate block from main memory to cache is made.

There are several possible algorithms which can be used to assess andassign costs under the teaching of the present invention. One algorithmis the static branch cost approach. In accordance with this method, onebegins by placing basic blocks into execution sets based on blockcontiguity and a maximum allowable execution set size (this would be animplementation limit, such as maximum instruction cache size). Theinformation about branching between basic blocks is known and is anoutput of the compiler. Using this information, the apparatus calculatesthe "cost" of the resulting grouping of basic blocks into execution setsbased on the number of (static) branches between basic blocks indifferent execution sets. The apparatus can then use standard linearprogramming techniques to minimize this cost function, thereby obtainingthe "optimal" grouping of basic blocks into execution sets. Thisalgorithm has the advantage of ease of implementation; however, itignores the actual dynamic branching patterns which occur during actualprogram execution.

Other algorithms could be used in accordance with the teachings of thepresent invention which provide a better estimation of actual dynamicbranch patterns. One example would be the collection of actual branchdata from a program execution, and the resultant re-grouping of thebasic blocks using a weighted assignment of branch costs based on theactual inter-block branching. Clearly, this approach is data dependent.Another approach would be to allow the programmer to specify branchprobabilities, after which the weighted cost assignment would be made.This approach has the disadvantages of programmer intervention andprogrammer error. Still other approaches would be based usingparameters, such as limiting the number of basic blocks per executionset, and applying heuristics to these parameters.

The algorithms described above are not unique to the problem of creatingexecution sets. However, the use of execution sets as a means ofoptimizing instruction cache performance is novel. Like the novelty ofpre-execution time assignment of processor resources, the pre-executiontime grouping of basic blocks for maximizing cache performance is notfound in prior art.

The final element required to support the execution sets is thehardware. As will be discussed subsequently, this hardware includesstorage to contain the current execution set starting and endingaddresses and to contain the other execution set header data. Theexistence of execution sets and the associated header data structuresare, in fact, transparent to the actual instruction fetching from cacheto the processor elements. The latter depends strictly upon theindividual instruction and branch addresses. The execution set hardwareoperates independently of instruction fetching to control the movementof instruction words from main memory to the instruction cache. Thishardware is responsible for fetching basic blocks of instructions intothe cache until either the entire execution set resides in cache orprogram execution has reached a point that a branch has occurred to abasic block outside the execution set. At this point, since the targetexecution set is not resident in cache, the execution set hardwarebegins fetching the basic blocks belonging to the target execution set.

Referring to FIG. 13, the structure of the register set file 660 forcontext file zero (the structure being the same for each context file)has L+1 levels of register sets with each register set containing n+1separate registers. For example, n could equal 31 for a total of 32registers. Likewise, the L could equal 15 for a total of 16 levels. Notethat these registers are not shared between levels; that is, each levelhas a set of registers which is physically distinct from the registersof each other level.

Each level of registers corresponds to that group of registers availableto a subroutine executing at a particular depth relative to the mainprogram. For example, the set of registers at level zero can beavailable to the main program; the set of registers at level one can beavailable to a first level subroutine that is called directly from themain program; the set of registers at level two can be available to anysubroutine (a second level subroutine) called directly by a first levelsubroutine; the set of registers at level three can be available to anysubroutine called directly by a second level subroutine; and so on.

As these sets of registers are independent, the maximum number of levelscorresponds to the number of subroutines that can be nested beforehaving to physically share any registers between subroutines, that is,before having to store the contents of any registers in main memory. Theregister sets, in their different levels, constitute a shared resourceof the present invention and significantly saves system overhead duringsubroutine calls since only rarely do sets of registers need to bestored, for example in a stack, in memory.

Communication between different levels of subroutines takes place, inthe preferred illustrated embodiment, by allowing each subroutine up tothree possible levels from which to obtain a register: the currentlevel, the previous (calling) level (if any) and the global (mainprogram) level. The designation of which level of registers is to beaccessed, that is, the level relative to the presently executing mainprogram or subroutine, uses the static SCSM information attached to theinstruction by the TOLL software. This information designates a levelrelative to the instruction to be processed. This can be illustrated bya subroutine call for a SINE function that takes as its argument a valuerepresenting an angular measure and returns the trigonometric SINE ofthat measure. The main program is set forth in Table 12; and thesubroutine is set forth in Table 13.

                  TABLE 12                                                        ______________________________________                                        Main Program       Purpose                                                    ______________________________________                                        LOAD X, R1         Load X from memory                                                            into Reg R1 for                                                               parameter passing                                          CALL SINE          Subroutine Call -                                                             Returns result in                                                             Reg R2                                                     LOAD R2, R3        Temporarily save                                                              results in Reg R3                                          LOAD Y, R1         Load Y from memory                                                            into Reg R1 for                                                               parameter passing                                          CALL SINE          Subroutine Call                                                               Returns result in                                                             Reg R2                                                     MULT R2, R3, R4    Multiply Sin (x)                                                              with Sin (y) and                                                              store result in                                                               Reg R4                                                     STORE R4, Z        Store final result                                                            in memory at Z                                             ______________________________________                                    

The SINE subrouting is set forth in Table 13:

                  TABLE 13                                                        ______________________________________                                        Instruction                                                                              Subroutine     Purpose                                             ______________________________________                                        I0         Load R1(L0), R2                                                                              Load Reg R2,                                                                  level 1 with                                                                  contents of Reg                                                               R1, level 0                                         Ip-1       (Perform SINE), R7                                                                           Calculate SINE                                                                function and                                                                  store result in                                                               Reg R7, level 1                                     Ip         Load R7, R2(L0)                                                                              Load Reg R2, level                                                            0 with contents of                                                            Reg R7, level 1                                     ______________________________________                                    

Hence, under the teachings of the present invention and with referenceto FIG. 14, instruction I0 of the subroutine loads register R2 of thecurrent level (the subroutine's level or called level) with the contentsof register R1 from the previous level (the calling routine or level).Note that the subroutine has a full set of registers with which toperform the processing independent of the register set of the callingroutine. Upon completion of the subroutine call, instruction Ip causesregister R7 of the current level to be stored in register R2 of thecalling routine's level (which returns the results of the SINE routineback to the calling program's register set).

As described in more detail in connection with FIG. 22, the transferbetween the levels occurs through the use of the SCSM dynamicallygenerated information which can contain the absolute value of thecurrent procedural level of the instruction (that is, the level of thecalled routine), the previous procedural level (that is, the level ofthe calling routine) and the context identifier. The absolute dynamicSCSM level information is generated by the LRD from the relative(static) SCSM information provided by the TOLL software. The contextidentifier is only used when processing a number of programs in amulti-user system. The relative SCSM information is shown in Table 13for register R1 (of the calling routine) as R1(L0) and for register R2as R2(L0). All registers of the current level have appended an implied(00) signifying the current procedural level.

This method and structure described in connection with FIGS. 13 and 14differ substantially from prior art approaches where physical sharing ofthe same registers occurs between registers of a subroutine and itscalling routine. By thereby limiting the number of registers that areavailable for use by the subroutine, more system overhead for storingthe registers in main memory is required. See, for example, the MIPSapproach as set forth in "Reduced Instruction Set Computers" David A.Patterson, Communications of the ACM, January, 1985, Vol. 28, No. 1,Pgs. 8-21. In that reference, the first sixteen registers are localregisters to be used solely by the subroutine, the next eight registers,registers 16 through 23, are shared between the calling routine and thesubroutine, and final eight registers, registers 24 through 31 areshared between the global (or main) program and the subroutine. Clearly,out of 32 registers that are accessible by the subroutine, only 16 arededicated solely for use by the subroutine in the processing of itsprogram. In the processing of complex subroutines, the limited number ofregisters that are dedicated solely to the subroutine may not (ingeneral) be sufficient for the processing of the subroutine. Datashuffling (entailing the storing of intermediate data in memory) mustthen occur, resulting in significant overhead in the processing of theroutine.

Under the teachings of the present invention, the relative transfersbetween the levels which are known to occur at compile time arespecified by adding the requisite information to the registeridentifiers as shown in FIG. 4 (the SCSM data), to appropriately map theinstructions between the various levels. Hence, a completely independentset of registers is available to the calling routine and to each levelof subroutine. The calling routine, in addition to accessing its owncomplete set of registers, can also gain direct access to a higher setof registers using the aforesaid static SCSM mapping code which is addedto the instruction, as previously described. There is literally noreduction in the size of the register set available to a subroutine asspecifically found in prior art approaches. Furthermore, the mappingcode for the SCSM information can be a field of sufficient length toaccess any number of desired levels. For example, in one illustratedembodiment, a calling routine can access up to seven higher levels inaddition to its own registers with a field of three bits. The presentinvention is not to be limited to any particular number of levels nor toany particular number of registers within a level. Under the teachingsof the present invention, the mapping shown in FIG. 14 is a logicalmapping and not a conventional physical mapping. For example, threelevels, such as the calling routine level, the called level, and theglobal level require three bit maps. The relative identification of thelevels can be specified by a two bit word in the static SCSM, forexample, the calling routine by (00), the subordinate level by (01), andthe global level by (11). Thus, each user's program is analyzed and thestatic SCSM relative procedural level information, also designated awindow code, is added to the instructions prior to the issuance of theuser program to a specific LRD. Once the user is assigned to a specificLRD, the static SCSM level information is used to generate the LRDdependent and dynamic SCSM information which is added as it is needed.

2. Detailed Description of the Hardware

As shown in FIG. 6, the TDA system 600 of the present invention iscomposed of memory 610, logical resource drivers (LRD) 620, processorelements (PEs) 640, and shared context storage files 660. The followingdetailed description starts with the logical resource drivers since theTOLL software output is loaded into this hardware.

a. Logical Resource Drivers (LRDs)

The details of a particular logical resource driver (LRD) is set forthin FIG. 15. As shown in FIG. 6, each logical resource driver 620 isinterconnected to the LRD-memory network 630 on one side and to theprocessor elements 640 through the PE-LRD network 650 on the other side.If the present invention were a SIMD machine, then only one LRD isprovided and only one context file is provided. For MIMD capabilities,one LRD and one context file is provided for each user so that, in theembodiment illustrated in FIG. 6, up to "n" users can be accommodated.

The logical resource driver 620 is composed of a data cache section 1500and an instruction selection section 1510. In the instruction selectionsection, the following components are interconnected. An instructioncache address translation unit (ATU) 1512 is interconnected to theLRD-memory network 630 over a bus 1514. The instruction cache ATU 1512is further interconnected over a bus 1516 to an instruction cachecontrol circuit 1518. The instruction cache control circuit 1518 isinterconnected over lines 1520 to a series of cache partitions 1522a,1522b, 1522c, and 1522d. Each of the cache partitions is respectivelyconnected over busses 1524a, 1524b, 1524c, and 1524d to the LRD-memorynetwork 630. Each cache partition circuit is further interconnected overlines 1536a, 1536b, 1536c, and 1536d to a processor instruction queue(PIQ) bus interface unit 1544. The PIQ bus interface unit 1544 isconnected over lines 1546 to a branch execution unit (BEU) 1548 which inturn is connected over lines 1550 to the PE-context file network 670.The PIQ bus interface unit 1544 is further connected over lines 1552a,1552b, 1552c, and 1552d to a processor instruction queue (PIQ) bufferunit 1560 which in turn is connected over lines 1562a, 1562b, 1562c, and1562d to a processor instruction queue (PIQ) processor assignmentcircuit 1570. The PIQ processor assignment circuit 1570 is in turnconnected over lines 1572a, 1572b, 1572c, and 1572d to the PE-LRDnetwork 650 and hence to the processor elements 640.

On the data cache portion 1500, a data cache ATU 1580 is interconnectedover bus 1582 to the LRD-memory network 630 and is furtherinterconnected over bus 1584 to a data cache control circuit 1586 andover lines 1588 to a data cache interconnection network 1590. The datacache control 1586 is also interconnected to data cache partitioncircuits 1592a, 1592b, 1592c and 1592d over lines 1593. The data cachepartition circuits, in turn, are interconnected over lines 1594a, 1594b,1594c, and 1594d to the LRD-memory network 630. Furthermore, the datacache partition circuits 1592 are interconnected over lines 1596a,1596b, 1596c, and 1596d to the data cache interconnection network 1590.Finally, the data cache interconnection network 1590 is interconnectedover lines 1598a, 1598b, 1598c, and 1598d to the PE-LRD network 650 andhence to the processor elements 640.

In operation, each logical resource driver (LRD) 620 has two sections,the data cache portion 1500 and the instruction selection portion 1510.The data cache portion 1500 acts as a high speed data buffer between theprocessor elements 640 and memory 610. Note that due to the number ofmemory requests that must be satisfied per unit time, the data cache1500 is interleaved. All data requests made to memory by a processorelement 640 are issued on the data cache interconnection network 1590and intercepted by the data cache 1592. The requests are routed to theappropriate data cache 1592 by the data cache interconnection network1590 using the context identifier that is part of the dynamic SCSMinformation attached by the LRD to each instruction that is executed bythe processors. The address of the desired datum determines in whichcache partition the datum resides. If the requested datum is present(that is, a data cache hit occurs), the datum is sent back to therequesting processor element 640.

If the requested datum is not present in data cache, the addressdelivered to the cache 1592 is sent to the data cache ATU 1580 to betranslated into a system address. The system address is then issued tomemory. In response, a block of data from memory (a cache line or block)is delivered into the cache partition circuits 1592 under control ofdata cache control 1586. The requested data, that is resident in thiscache block, is then sent through the data cache interconnection network1590 to the requesting processor element 640. It is to be expresslyunderstood that this is only one possible design. The data cache portionis of conventional design and many possible implementations arerealizable to one skilled in the art. As the data cache is of standardfunctionality and design, it will not be discussed further.

The instruction selection portion 1510 of the LRD has three majorfunctions; instruction caching, instruction queueing and branchexecution. The system function of the instruction cache portion ofselection portion 1510 is typical of any instruction caching mechanism.It acts as a high speed instruction buffer between the processors andmemory. However, the current invention presents methods and an apparatusconfiguration for realizing this function that are unique.

One purpose of the instruction portion 1510 is to receive execution setsfrom memory, place the sets into the caches 1522 and furnish theinstructions within the sets, on an as needed basis, to the processorelements 640. As the system contains multiple, generally independent,processor elements 640, requests to the instruction cache are for agroup of concurrently executable instructions. Again, due to the numberof requests that must be satisfied per unit time, the instruction cacheis interleaved. The group size ranges from none to the number ofprocessors available to the users. The groups are termed packets,although this does not necessarily imply that the instructions arestored in a contiguous manner. Instructions are fetched from the cacheon the basis of their instruction firing time (IFT). The nextinstruction firing time register contains the firing time of the nextpacket of instructions to be fetched. This register may be loaded by thebranch execution unit 1548 of the LRD as well as incremented by thecache control unit 1518 when an instruction fetch has been completed.

The next IFT register (NIFTR) is a storage register that is accessiblefrom the context control unit 1518 and the branch execution unit 1548.Due to its simple functionality, it is not explicitly shown.Technically, it is a part of the instruction cache control unit 1518,and is further buried in the control unit 1660 (FIG. 16). The key pointhere is that the NIFTR is merely a storage register which can beincremented or loaded.

The instruction cache selection portion 1510 receives the instructionsof an execution set from memory over bus 1524 and, in a round robinmanner, places instructions word into each cache partitions, 1522a,1522b, 1522c and 1522d. In other words, the instructions in theexecution set are directed so that the first instruction is delivered tocache partition 1522a, the second instruction to cache partition 1522b,the third instruction to cache partition 1522c, and the fourthinstruction to cache partition 1522d. The fifth instruction is thendirected to cache partition 1522a, and so on until all of theinstructions in the execution set are delivered into the cache partitioncircuits.

All the data delivered to the cache partitions are not necessarilystored in the cache. As will be discussed, the execution set header andtrailer may not be stored. Each cache partition attaches a uniqueidentifier (termed a tag) to all the information that is to be stored inthat cache partition. The identifier is used to verify that informationobtained from the cache is indeed the information desired.

When a packet of instructions is requested, each cache partitiondetermines if the partition contains an instruction that is a member ofthe requested packet. If none of the partitions contain an instructionthat is a member of the requested packet (that is, a miss occurs), theexecution set that contains the requested packet is requested frommemory in a manner analogous to a data cache miss.

If a hit occurs (that is, at least one of the partitions 1522 containsan instruction from the requested packet), the partition(s) attach anyappropriate dynamic SCSM information to the instruction(s). The dynamicSCSM information, which can be attached to each instruction, isimportant for multi-user applications. The dynamically attached SCSMinformation identifies the context file (see FIG. 6) assigned to a givenuser. Hence, under the teachings of the present invention, the system600 is capable of delay free switching among many user context fileswithout requiring a master processor or access to memory.

The instruction(s) are then delivered to the PIQ bus interface unit 1544of the LRD 620 where it is routed to the appropriate PIQ buffers 1560according to the logical processor number (LPN) contained in theextended intelligence that the TOLL software, in the illustratedembodiment, has attached to the instruction. The instructions in the PIQbuffer unit 1560 are buffered for assignment to the actual processorelements 640. The processor assignment is performed by the PIQ processorassignment unit 1570. The assignment of the physical processor elementsis performed on the basis of the number of processor elements currentlyavailable and the number of instructions that are available to beassigned. These numbers are dynamic. The selection process is set forthbelow.

The details of the instruction cache control 1518 and of each cachepartition 1522 of FIG. 15 are set forth in FIG. 16. In each cachepartition circuit 1522, five circuits are utilized. The first circuit isthe header route circuit 1600 which routes an individual word in theheader of the execution set over a path 1520b to the instruction cachecontext control unit 1660. The control of the header route circuit 1600is effected over path 1520a by the header path select circuit 1602. Theheader path select circuit 1602 based upon the address received overlines 1520b from the control unit 1660 selectively activates therequired number of header routers 1600 in the cache partitions. Forexample, if the execution set has two header words, only the first twoheader route circuits 1600 are activated by the header path selectcircuit 1602 and therefore two words of header information are deliveredover bus 1520b to the control unit 1660 from the two activated headerroute circuits 1600 of cache partition circuits 1522a and 1522b (notshown). As mentioned, successive words in the execution set aredelivered to successive cache partition circuits 1522.

For example, assume that the data of Table 1 represents an entireexecution set and that appropriate header words appear at the beginningof the execution set. The instructions with the earliest instructionfiring times (IFTs) are listed first and for a given IFT, thoseinstructions with the lowest logical processor number are listed first.The table reads:

                  TABLE 14                                                        ______________________________________                                        Header Word 1                                                                 Header Word 2                                                                 ______________________________________                                                   I0  (T16)   (PEO)                                                             I1  (T16)   (PE1)                                                             I4  (T16)   (PE2)                                                             I2  (T17)   (PE0)                                                             I5  (T17)   (PE1)                                                             I3  (T18)   (PE0)                                                  ______________________________________                                    

Hence, the example of Table 1 (that is, the matrix multiply inner loop),now has associated with it two header words and the extended informationdefining the firing time (IFT) and the logical processor number (LPN).As shown in Table 14, the instructions were reordered by the TOLLsoftware according to the firing times. Hence, as the execution setshown in Table 14 is delivered through the LRD-memory network 630 frommemory, the first word (Header Word 1) is routed by partition CACHE0 tothe control unit 1660. The second word (Header Word 2) is routed bypartition CACHE1 (FIG. 15) to the control unit 1660. Instruction I0 isdelivered to partition CACHE2, instruction I1 to partition CACHE3,instruction I2 to partition CACHE0, and so forth. As a result, the cachepartitions 1522 now contain the instructions as shown in Table 15:

                  TABLE 15                                                        ______________________________________                                        Cache0   Cache1        Cache2  Cache3                                         ______________________________________                                                               I0      I1                                             I4       I2            I5      I3                                             ______________________________________                                    

It is important to clarify that the above example has only one basicblock in the execution set (that is, it is a simplistic example). Inactuality, an execution set would have a number of basic blocks.

The instructions are then delivered for storage into a cache randomaccess memory (RAM) 1610 resident in each cache partition. Eachinstruction is delivered from the header router 1600 over a bus 1602 tothe tag attacher circuit 1604 and then over a line 1606 into the RAM1610. The tag attacher circuit 1604 is under control of a tag generationcircuit 1612 and is interconnected therewith over a line 1520c. CacheRAM 1610 could be a conventional cache high speed RAM as found inconventional superminicomputers.

The tag generation circuit 1612 provides a unique identification code(ID) for attachment to each instruction before storage of thatinstruction in the designated RAM 1610. The assigning of processidentification tags to instructions stored in cache circuits isconventional and is done to prevent aliasing of the instructions. "CacheMemories" by Alan J. Smith, ACM Computing Surveys, Vol. 14, September,1982. The tag comprises a sufficient amount of information to uniquelyidentify it from each other instruction and user. The illustratedinstructions already include the IFT and LPN, so that subsequently, wheninstructions are retrieved for execution, they can be fetched based ontheir firing times. As shown in Table 16, below, each instructioncontaining the extended information and the hardware tag is stored, asshown, for the above example:

                  TABLE 16                                                        ______________________________________                                        CACHE0:           I4(T16)(PE2)(ID2)                                           CACHE1:           I2(T17)(PE0)(ID3)                                           CACHE2:           I0(T16)(PE0)(ID0)                                                             I5(T17)(PE1)(ID4)                                           CACHE3:           I1(T16)(PE1)(ID1)                                                             I3(T18)(PE0)(ID5)                                           ______________________________________                                    

As stated previously, the purpose of the cache partition circuits 1522is to provide a high speed buffer between the slow main memory 610 andthe fast processor elements 640. Typically, the cache RAM 1610 is a highspeed memory capable of being quickly accessed. If the RAM 1610 were atrue associative memory, as can be witnessed in Table 16, each RAM 1610could be addressed based upon instruction firing times (IFTs). At thepresent time, such associative memories are not economically justifiableand an IFT to cache address translation circuit 1620 must be utilized.Such a circuit is conventional in design and controls the addressing ofeach RAM 1610 over a bus 1520d. The purpose of circuit 1620 is togenerate the RAM address of the desired instructions given theinstruction firing time. Hence, for instruction firing time T16, CACHE0,CACHE2, and CACHE3, as seen in Table 16, would produce instructions I4,I0, and I1 respectively.

When the cache RAMs 1610 are addressed, those instructions associatedwith a specific firing time are delivered over lines 1624 into a tagcompare and privilege check circuit 1630. The purpose f the tag compareand privilege check circuit 1630 is to compare the hardware tags (ID) togenerated tags to verify that the proper instruction has been delivered.The reference tag is generated through a second tag generation circuit1632 which is interconnected to the tag compare and privilege checkcircuit 1630 over a line 1520e. A privilege check is also performed onthe delivered instruction to verify that the operation requested by theinstruction is permitted given the privilege status of the process(e.g., system program, application program, etc.). This is aconventional check performed by computer processors which supportmultiple levels of processing states. A hit/miss circuit 1640 determineswhich RAMs 1610 have delivered the proper instructions to the PIQ businterface unit 1544 in response to a specific instruction fetch request.

For example, and with reference back to Table 16, if the RAMs 1610 areaddressed by circuit 1620 for instruction firing time T16, CACHE0,CACHE2, and CACHE3 would respond with instructions thereby comprising ahit indication on those cache partitions. Cache 1 would not respond andthat would constitute a miss indication and this would be determined bycircuit 1640 over line 1520g. Thus, each instruction, for instructionfiring time T16, is delivered over bus 1632 into the SCSM attacher 1650wherein dynamic SCSM information, if any, is added to the instruction byan SCSM attacher hardware 1650. For example, hardware 1650 can replacethe static SCSM procedural level information (which is a relative value)with the actual procedural level values. The actual values are generatedfrom a procedural level counter data and the static SCSM information.

When all of the instructions associated with an individual firing timehave been read from the RAM 1610, the hit and miss circuit 1640 overlines 1646 informs the instruction cache control unit 1660 of thisinformation. The instruction cache context control unit 1660 containsthe next instruction firing time register, a part of the instructioncache control 1518 which increments the instruction firing time to thenext value. Hence, in the example, upon the completion of reading allinstructions associated with instruction firing time T16, theinstruction cache context control unit 1660 increments to the nextfiring time, T17, and delivers this information over lines 1664 to anaccess resolution circuit 1670, and over lines 1520f to the tag compareand privilege check circuit 1630. Also note that there may be firingtimes which have no valid instructions, possibly due to operationaldependencies detected by the TOLL software. In this case, noinstructions would be fetched from the cache and transmitted to the PIQinterface.

The access resolution circuit 1670 coordinates which circuitry hasaccess to the instruction cache RAMs 1610. Typically, these RAMs cansatisfy only a single request at each clock cycle. Since there could betwo requests to the RAMs at one time, an arbitration method must beimplemented to determine which circuitry obtains access. This is aconventional issue in the design of cache memory, and the accessresolution circuit resolves the priority question as is well known inthe field.

The present invention can and preferably does support several userssimultaneously in both time and space. In previous prior art approaches(CDC, IBM, etc.), multi-user support was accomplished solely bytimesharing the processor(s). In other words, the processors were sharedin time. In this system, multi-user support is accomplished (in space)by assigning an LRD to each user that is given time on the processorelements. Thus, there is a spatial aspect to the sharing of theprocessor elements. The operating system of the machine deals with thoseusers assigned to the same LRD in a timeshared manner, thereby addingthe temporal dimension to the sharing of the processors.

Multi-user support is accomplished by the multiple LRDs, the use ofplural processor elements, and the multiple context files 660 supportingthe register files and condition code storage. As several users may beexecuting in the processor elements at the same time, additional piecesof information must be attached to each instruction prior to itsexecution to uniquely identify the instruction source and any resourcesthat it may use. For example, a register identifier must contain theabsolute value of the subroutine procedural level and the contextidentifier as well as the actual register number. Memory addresses mustalso contain the LRD identifier from which the instruction was issued tobe properly routed through the LRD-Memory interconnection network to theappropriate data cache.

The additional and required information comprises two components, astatic and a dynamic component; and the information is termed "sharedcontext storage mapping" (SCSM). The static information results from thecompiler output and the TOLL software gleans the information from thecompiler generated instruction stream and attaches the registerinformation to the instruction prior to its being received by an LRD.

The dynamic information is hardware attached to the instruction by theLRD prior to its issuance to the processors. This information iscomposed of the context/LRD identifier corresponding to the LRD issuingthe instruction, the absolute value of the current procedural level ofthe instruction, the process identifier of the current instructionstream, and preferably the instruction status information that wouldnormally be contained in the processors of a system having processorsthat are not context free. This later information would be composed oferror masks, floating point format modes, rounding modes, and so on.

In the operation of the circuitry in FIG. 16, one or more execution setsare delivered into the instruction cache circuitry. The headerinformation for each set is delivered to one or more successive cachepartitions and is routed to the context control unit 1660. Theinstructions in the execution set are then individually, on a roundrobin basis, routed to each successive cache partition unit 1522. Ahardware identification tag is attached to each instruction and theinstruction is then stored in RAM 1610. As previously discussed, eachexecution set is of sufficient length to minimize instruction cachedefaults and the RAM 1610 is of sufficient size to store the executionsets. When the processor elements require the instructions, the numberand cache locations of the valid instructions matching the appropriateIFTs are determined. The instructions stored in the RAM's 1610 are readout; the identification tags are verified; and the privilege statuschecked. The instructions are then delivered to the PIQ bus interfaceunit 1544. Each instruction that is delivered to the PIQ bus interfaceunit 1544, as is set forth in Table 17, includes the identification tag(ID) and the hardware added SCSM information.

                  TABLE 17                                                        ______________________________________                                        CACHE0:        I4(T16)(PE2)(ID2)(SCSM0)                                       CACHE1:        I2(T17)(PE0)(ID3)(SCSM1)                                       CACHE2:        I0(T16)(PE0)(ID0)(SCSM2)                                                      I5(T17)(PE1)(ID4)(SCSM3)                                       CACHE3:        I1(T16)(PE1)(ID1)(SCSM4)                                                      I3(T18)(PE0)(ID5)(SCSM5)                                       ______________________________________                                    

If an instruction is not stored in RAM 1610, a cache miss occurs and anew execution set containing the instruction is read from main memoryover lines 1523.

In FIG. 17, the details of the PIQ bus interface unit 1544 and the PIQbuffer unit 1560 are set forth. Referring to FIG. 17, the PIQ businterface unit 1544 receives instructions as set forth in Table 17,above, over lines 1536. A search tag hardware 1702 has access to thevalue of the present instruction firing time over lines 1549 andsearches the cache memories 1522 to determine the address(es) of thoseregisters containing instructions having the correct firing times. Thesearch tag hardware 1702 then makes available to the instruction cachecontrol circuitry 1518 the addresses of those memory locations fordetermination by the instruction cache control of which instructions tonext select for delivery to the PIQ bus interface 1544.

These instructions access, in parallel, a two-dimensional array of businterface units (BIU's) 1700. The bus interface units 1700 areinterconnected in a full access non-blocking network by means ofconnections 1710 and 1720, and connect over lines 1552 to the PIQ bufferunit 1560. Each bus interface unit (BIU) 1700 is a conventional addresscomparison circuit composed of: TI 74L85 4 bit magnitude comparators,Texas Instruments Company, P.O. Box 225012, Dallas, Tex. 75265. In thematrix multiply example, for instruction firing time T16, CACHE0contains instruction I4 and CACHE3 (corresponding to CACHE n in FIG. 17)contains instruction I1. The logical processor number assigned toinstruction I4 is PE2. The logical processor number PE2 activates aselect (SEL) signal of the bus interface unit 1700 for processorinstruction queue 2 (this is the BIU3 corresponding to the CACHE0 unitcontaining the instruction). In this example, only that BIU3 isactivated and the remaining bus interface units 1700 for that BIU3 rowand column are not activated. Likewise, for CACHE3 (CACHE n in FIG. 17),the corresponding BIU2 is activated for processor instruction QUEUE 1.

The PIQ buffer unit 1560 is comprised of a number of processorinstruction queues 1730 which store the instructions received from thePIQ bus interface unit 1544 in a first in-first out (FIFO) fashion asshown in Table 18:

                  TABLE 18                                                        ______________________________________                                        PIQ0     PIQ1           PIQ2   PIQ3                                           ______________________________________                                        I0       I1             I4     --                                             I2       --             --     --                                             I3       --             --     --                                             ______________________________________                                    

In addition to performing instruction queueing functions, the PIQ's 1730also keep track of the execution status of each instruction that isissued to the processor elements 640. In an ideal system, instructionscould be issued to the processor elements every clock cycle withoutworrying about whether or not the instructions have finished execution.However, the processor elements 640 in the system may not be able tocomplete an instruction every clock cycle due to the occurrence ofexceptional conditions, such as a data cache miss and so on. As aresult, each PIQ 1730 tracks all instructions that it has issued to theprocessor elements 640 that are still in execution. The primary resultof this tracking is that the PIQ's 1730 perform the instruction clockingfunction for the LRD 620. In other words, the PIQ's 1730 determine whenthe next firing time register can be updated when executing straightlinecode. This in turn begins a new instruction fetch cycle.

Instruction clocking is accomplished by having each PIQ 1730 form aninstruction done signal that specifies that the instruction(s) issued bya given PIQ either have executed or, in the case of pipelined PE's, haveproceeded to the next stage. This is then combined with all other PIQinstruction done signals from this LRD and is used to gate the incrementsignal that increments the next firing time register. The "done" signalsare delivered over lines 1564 to the instruction cache control 1518.

Referring to FIG. 18, the PIQ processor assignment circuit 1570 containsa two dimensional array of network interface units (NIU's) 1800interconnected as a full access switch to the PE-LRD network 650 andthen to the various processor elements 640. Each network interface unit(NIU) 1800 is comprised of the same circuitry as the bus interface units(BIU) 1700 of FIG. 17. In normal operation, the processor instructionqueue #0 (PIQ0) can directly access processor element 0 by activatingthe NIU0 associated with the column corresponding to queue #0, theremaining network interface units NIU0, NIU1, NIU2, NIU3 of the PIQprocessor alignment circuit for that column and row being deactivated.Likewise, processor instruction queue #3 (PIQ3) normally accessesprocessor element 3 by activating the NIU3 of the column associated withqueue #3, the remaining NIU0, NIU1, NIU2, and NIU3 of that column androw being deactivated. The activation of the network interface units1800 is under the control of an instruction select and assignment unit1810. Unit 1810 receives signals from the PIQ's 1730 within the LRD thatthe unit 1810 is a member of over lines 1811, from all other units 1810(of other LRD's) over lines 1813, and from the processor elements 640through the network 650. Each PIQ 1730 furnishes the unit 1810 with asignal that corresponds to "I have an instruction that is ready to beassigned to a processor." The other PIQ buffer units furnish this unit1810 and every other unit 1810 with a signal that corresponds to "My PIQ1730 (#x) has an instruction ready to be assigned to a processor."Finally, the processor elements furnish each unit 1810 in the systemwith a signal that corresponds to "I can accept a new instruction."

The unit 1810 on an LRD transmits signals to the PIQs 1730 of its LRDover lines 1811, to the network interface units 1800 of its LRD overlines 1860 and to the other units 1810 of the other LRDs in the systemover lines 1813. The unit 1810 transmits a signal to each PIQ 1730 thatcorresponds to "Gate your instruction onto the PE-LRD interface bus(650)." The unit transmits a select signal to the network interfaceunits 1800. Finally, the unit 1810 transmits a signal that correspondsto "I have used processor element #x" to each other unit 1810 in thesystem for each processor which it is using.

In addition, each unit 1810 in each LRD has associated with it apriority that corresponds to the priority of the LRD. This is used toorder the LRDs into an ascending order from zero to the number of LRDsin the system. The method used for assigning the processor elements isas follows. Given that the LRDs are ordered, many allocation schemes arepossible (e.g., round robin, first come first served, time slice, etc.).However, these are implementation details and do not impact thefunctionality of this unit under the teachings of the present invention.

Consider the LRD with the current highest priority. This LRD gets allthe processor elements that it requires and assigns the instructionsthat are ready to be executed to the available processor elements. Ifthe processor elements are context free, the processor elements can beassigned in any manner whatsoever. Typically, however, assuming that allprocessors are functioning correctly, instructions from PIQ #0 arerouted to processor element #0, provided of course, processor element #0is available.

The unit 1810 in the highest priority LRD then transmits thisinformation to all other units 1810 in the system. Any processors leftopen are then utilized by the next highest priority LRD withinstructions that can be executed. This allocation continues until allprocessors have been assigned. Hence, processors may be assigned on apriority basis in a daisy chained manner.

If a particular processor element, for example, element 1 has failed,the instruction selective assignment unit 1810 can deactivate thatprocessor element by deactivating all network instruction units NIU1. Itcan then, through hardware, reorder the processor elements so that, forexample, processor element 2 receives all instructions logicallyassigned to processor element 1, processor element 3 is now assigned toreceive all instructions logically assigned to processor 2, etc. Indeed,redundant processor elements and network interface units can be providedto the system to provide for a high degree of fault tolerance.

Clearly, this is but one possible implementation. Other methods are alsorealizable.

b. Branch Execution Unit (BEU)

Referring to FIG. 19, the Branch Execution Unit (BEU) 1548 is the unitin the present invention responsible for the execution of all branchinstructions which occur at the end of each basic block. There is, inthe illustrated embodiment, one BEU 1548 for each supported context andso, with reference to FIG. 6, "n" supported contexts require "n" BEU's.The illustrated embodiment uses one BEU for each supported contextbecause each BEU 1548 is of simple design and, therefore, the cost ofsharing a BEU between plural contexts would be more expensive thanallowing each context to have its own BEU.

The BEU 1548 executes branches in a conventional manner with theexception that the branch instructions are executed outside the PE's640. The BEU 1548 evaluates the branch condition and, when the targetaddress is selected, generates and places this address directly into thenext instruction fetch register. The target address generation isconventional for unconditional and conditional branches that are notprocedure calls or returns. The target address can be (a) taken directlyfrom the instruction, (b) an offset from the current contents of thenext instruction fetch register, or (c) an offset of a general purposeregister of the context register file.

A return branch from a subroutine is handled in a slightly differentfashion. To understand the subroutine return branch, discussion of thesubroutine call branch is required. When the branch is executed, areturn address is created and stored. The return address is normally theaddress of the instruction following the subroutine call. The returnaddress can be stored in a stack in memory or in other storage local tothe branch execution unit. In addition, the execution of the subroutinecall increments the procedural level counter.

The return from a subroutine branch is also an unconditional branch.However, rather than containing the target address within theinstruction, this type of branch reads the previously stored returnaddress from storage, decrements the procedural level counter, and loadsthe next instruction fetch register with the return address. Theremainder of the disclosure discusses the evaluation and execution ofconditional branches. It should be noted the that techniques describedalso apply to unconditional branches, since these are, in effect,conditional branches in which the condition is always satisfied.Further, these same techniques also apply to the subroutine call andreturn branches, which perform the additional functions described above.

To speed up conditional branches, the determination of whether aconditional branch is taken or not, depends solely on the analysis ofthe appropriate set of condition codes. Under the teachings of thepresent invention, no evaluation of data is performed other than tomanipulate the condition codes appropriately. In addition, aninstruction, which generates a condition code that a branch will use,can transmit the code to BEU 1548 as well as to the condition codestorage. This eliminates the conventional extra waiting time requiredfor the code to become valid in the condition code storage prior to aBEU being able to fetch it.

The present invention also makes extensive use of delayed branching toguarantee program correctness. When a branch has executed and itseffects are being propagated in the system, all instructions that arewithin the procedural domain of the branch must either have beenexecuted or be in the process of being executed, as discussed inconnection with the example of Table 6. In other words, changing thenext-instruction pointer (in response to the branch) takes place afterthe current firing time has been updated to point to the firing timethat follows the last (temporally executed) instruction of the branch.Hence, in the example of Table 6, instruction I5 at firing time T17 isdelayed until the completion of T18 which is the last firing time forthis basic block. The instruction time for the next basic block is thenT19.

The functionality of the BEU 1548 can be described as a four-state statemachine:

Stage 1: Instruction decode

- Operation decode

- Delay field decode

- Condition code access decode

Stage 2: Condition code fetch/receive

Stage 3: Branch operation evaluation

Stage 4: Next instruction fetch location and firing time update

Along with determining the operation to be performed, the first stagealso determines how long fetching can continue to take place afterreceipt of the branch by the BEU, and how the BEU is to access thecondition codes for a conditional branch, that is, are they received orfetched.

Referring to FIG. 19, the branch instruction is delivered over bus 1546from the PIQ bus interface unit 1544 into the instruction register 1900of the BEU 1548. The fields of the instruction register 1900 aredesignated as: FETCH/ENABLE, CONDITION CODE ADDRESS, OP CODE, DELAYFIELD, and TARGET ADDRESS. The instruction register 1900 is connectedover lines 1910a and 1910b to a condition code access unit 1920, overlines 1910c to an evaluation unit 1930, over lines 1910d to a delay unit1940, and over lines 1910e to a next instruction interface 1950.

Once an instruction has been issued to BEU 1548 from the PIQ businterface 1544, instruction fetching must be held up until the value inthe delay field has been determined. This value is measured relative tothe receipt of the branch by the BEU, that is stage 1. If there are noinstructions that may be overlapped with this branch, this field valueis zero. In this case, instruction fetching is held up until the outcomeof the branch has been determined. If this field is non-zero,instruction fetching may continue for a number of firing times given bythe value in this field.

The condition code access unit 1920 is connected to the register file -PE network 670 over lines 1550 and to the evaluation unit 1930 overlines 1922. During stage 2 operation, the condition code access decodeunit 1920 determines whether or not the condition codes must be fetchedby the instruction, or whether the instruction that determines thebranch condition delivers them. As there is only one instruction perbasic block that will determine the conditional branch, there will neverbe more than one condition code received by the BEU for a basic block.As a result, the actual timing of when the condition code is received isnot important. If it comes earlier than the branch, no other codes willbe received prior to the execution of the branch. If it comes later, thebranch will be waiting and the codes received will always be the rightones. Note that the condition code for the basic block can includeplural codes received at the same or different times by the BEU.

The evaluation unit 1930 is connected to the next instruction interface1950 over lines 1932. The next instruction interface 1950 is connectedto the instruction cache control circuit 1518 over lines 1549 and to thedelay unit 1940 over lines 1942; and the delay unit 1940 is alsoconnected to the instruction cache control unit 1518 over lines 1549.

During the evaluation stage of operation, the condition codes arecombined according to a Boolean function that represents the conditionbeing tested. In the final stage of operation, either fetching of thesequential instruction stream continues, if a conditional branch is nottaken, or the next instruction pointer is loaded, if the branch istaken.

The impact of a branch in the instruction stream can be described asfollows. Instructions, as discussed, are sent to their respective PIQ's1730 by analysis of the resident logical processor number (LPN).Instruction fetching can be continued until a branch is encountered,that is, until an instruction is delivered to the instruction register1900 of the BEU 1548. At this point, in a conventional system withoutdelayed branching, fetching would be stopped until the resolution of thebranch instruction is complete. See, for example, "Branch PredictionStrategies and Branch Target Buffer Design", J. F. K. Lee & A. J. Smith,IEEE Computer Magazine, January, 1984.

In the present system, which includes delayed branching, instructionsmust continue to be fetched until the next instruction fetched is thelast instruction of the basic block to be executed. The time that thebranch is executed is then the last time that fetching of an instructioncan take place without a possibility of modifying the next instructionaddress. Thus, the difference between when the branch is fetched andwhen the effects of the branch are actually felt corresponds to thenumber of additional firing time cycles during which fetching can becontinued.

The impact of this delay is that the BEU 1548 must have access to thenext instruction firing time register of the cache controller 1518.Further, the BEU 1548 can control the initiation or disabling of theinstruction fetch process performed by the instruction cache controlunit 1518. These tasks are accomplished by signals over bus 1549.

In operation the branch execution unit (BEU) 1548 functions as follows.The branch instruction, such as instruction I5 in the example above, isloaded into the instruction register 1900 from the PIQ bus interfaceunit 1544. The contents of the instruction register then control thefurther operation of BEU 1548. The FETCH-ENABLE field indicates whetheror not the condition code access unit 1920 should retrieve the conditioncode located at the address stored in the CC-ADX field (called FETCH) orwhether the condition code will be delivered by the generatinginstruction.

If a FETCH is requested, the unit 1920 accesses the register file-PEnetwork 670 (see FIG. 6) to access the condition code storage 2000 whichis shown in FIG. 20. Referring to FIG. 20, the condition code storage2000, for each context file, is shown in the generalized case. A set ofregisters CCxy are provided for storing condition codes for procedurallevel y. Hence, the condition code storage 2000 is accessed andaddressed by the unit 1920 to retrieve, pursuant to a FETCH request, thenecessary condition code. The actual condition code and an indicationthat the condition code is received by the unit 1920 is delivered overlines 1922 to the evaluation unit 1930. The OPCODE field, delivered tothe evaluation unit 1930, in conjunction with the received conditioncode, functions to deliver a branch taken signal over line 1932 to thenext instruction interface 1950. The evaluation unit 1930 is comprisedof standard gate arrays such as those from LSI Logic Corporation, 1551McCarthy Blvd., Milpitas, Calif. 95035.

The evaluation unit 1930 accepts the condition code set that determineswhether or not the conditional branch is taken, and under control of theOPCODE field, combines the set in a Boolean function to generate theconditional branch taken signal.

The next instruction interface 1950 receives the branch target addressfrom the TARGET-ADX field of the instruction register 1900 and thebranch taken signal over line 1932. However, the interface 1950 cannotoperate until an enable signal is received from the delay unit 1940 overlines 1942.

The delay unit 1940 determines the amount of time that instructionfetching can be continued after the receipt of a branch instruction bythe BEU. Previously, it has been described that when a branchinstruction is received by the BEU, instruction fetching continues forone more cycle and then stops. The instruction fetched during this cycleis held up from passing through PIQ bus interface unit 1544 until thelength of the delay field has been determined. For example, if the delayfield is zero (implying that the branch is to be executed immediately),these instructions must still be withheld from the PIQ bus buffer unituntil it is determined whether or not these are the right instructionsto be fetched. If the delay field is non-zero, the instructions would begated into the PIQ buffer unit as soon as the delay value was determinedto be non-zero. The length of the delay is obtained from DELAY field ofthe instruction register 1900. The delay unit receives the delay lengthfrom register 1900 and clock impulses from the context control 1518 overlines 1549. The delay unit 1940 decrements the value of the delay ateach clock pulse; and when fully decremented, the interface unit 1950becomes enabled.

Hence, in the discussion of Table 6, instruction I5 is assigned a firingtime T17 but is delayed until firing time T18. During the delay time,the interface 1950 signals the instruction cache control 1518 over line1549 to continue to fetch instructions to finish the current basicblock. When enabled, the interface unit 1950 delivers the next address(that is, the branch execution address) for the next basic block intothe instruction cache control 1518 over lines 1549.

In summary and for the example on Table 6, the branch instruction I5 isloaded into the instruction register 1900 during time T17. However, adelay of one firing time (DELAY) is also loaded into the instructionregister 1900 as the branch instruction cannot be executed until thelast instruction I3 is processed during time T18. Hence, even though theinstruction I5 is loaded in register 1900, the branch address for thenext basic block, which is contained in the TARGET ADDRESS, does notbecome effective until the completion of time T18. In the meantime, thenext instruction interface 1950 issues instructions to the cache control1518 to continue processing the stream of instructions in the basicblock. Upon the expiration of the delay, the interface 1950 is enabled,and the branch is executed by delivering the address of the next basicblock to the instruction cache control 1518.

Note that the delay field is used to guarantee the execution of allinstructions in the basic block governed by this branch in single cyclecontext free PE's. A small complexity is encountered when the PE's arepipelined. In this case, there exist data dependencies between theinstructions from the basic block just executed, and the instructionsfrom the basic block to be executed. The TOLL software can analyze thesedependencies when the next basic block is only targeted by the branchfrom this basic block. If the next basic block is targeted by more thanone branch, the TOLL software cannot resolve the various branchpossibilities and lets the pipelines drain, so that no data dependenciesare violated. One mechanism for allowing the pipelines to drain is toinsert NO-OP (no operation) instructions into the instruction stream. Analternate method provides an extra field in the branch instruction whichinhibits the delivery of new instructions to the processor elements fora time determined by the data in the extra field.

c. Processor Elements (PE)

So far in the discussions pertaining to the matrix multiply example, asingle cycle processor element has been assumed. In other words, aninstruction is issued to the processor element and the processor elementcompletely executes the instruction before proceeding to the nextinstruction. However, greater performance can be obtained by employingpipelined processor elements. Accordingly, the tasks performed by theTOLL software change slightly. In particular, the assignment of theprocessor elements is more complex than is shown in the previousexample; and the hazards that characterize a pipeline processor must behandled by the TOLL software. The hazards that are present in anypipelined processor manifest themselves as a more sophisticated set ofdata dependencies. This can be encoded into the TOLL software by onepracticed in the art. See for example, T. K. R. Gross, StanfordUniversity, 1983, "Code Optimization of Pipeline Constraints", DoctorateDissertation Thesis.

The assignment of the processors is dependent on the implementation ofthe pipelines and again, can be performed by one practiced in the art. Akey parameter is determining how data is exchanged between thepipelines. For example, assume that each pipeline contains feedbackpaths between its stages. In addition, assume that the pipelines canexchange results only through the register sets 660. Instructions wouldbe assigned to the pipelines by determining sets of dependentinstructions that are contained in the instruction stream and thenassigning each specific set to a specific pipeline. This minimizes theamount of communication that must take place between the pipelines (viathe register set), and hence speeds up the execution time of theprogram. The use of the logical processor number guarantees that theinstructions will execute on the same pipeline.

Alternatively, if there are paths available to exchange data between thepipelines, dependent instructions may be distributed across severalpipeline processors instead of being assigned to a single pipeline.Again, the use of multiple pipelines and the interconnection networkbetween them that allows the sharing of intermediate results manifestsitself as a more sophisticated set of data dependencies imposed on theinstruction stream. Clearly, the extension of the teachings of thisinvention to a pipelined system is within the skill of one practiced inthe art.

Importantly, the additional data (chaining) paths do not change thefundamental context free nature of the processor elements of the presentinvention. That is, at any given time (for example, the completion ofany given instruction cycle), the entire process state associated with agiven program (that is, context) is captured completely external to theprocessor elements. Data chaining results merely in a transitoryreplication of some of the data generated within the processor elementsduring a specific instruction clock cycle.

Referring to FIG. 21, a particular processor element 640 has afour-stage pipeline processor element. All processor elements 640according to the illustrated embodiment are identical. It is to beexpressly understood, that any prior art type of processor element suchas a micro-processor or other pipeline architecture could not be usedunder the teachings of the present invention, because such processorsretain substantial state information of the program they are processing.However, such a processor could be programmed with software to emulateor simulate the type of processor necessary for the present invention.

The design of the processor element is determined by the instruction setarchitecture generated by the TOLL software and, therefore, from aconceptual viewpoint, is the most implementation dependent portion ofthis invention. In the illustrated embodiment shown in FIG. 21, eachprocessor element pipeline operates autonomously of the other processorelements in the system. Each processor element is homogeneous and iscapable, by itself, of executing all computational and data memoryaccessing instructions. In making computational executions, transfersare from register to register and for memory interface instructions, thetransfers are from memory to registers or from registers to memory.

Referring to FIG. 21, the four-stage pipeline for the processor element640 of the illustrated embodiment includes four discrete instructionregisters 2100, 2110, 2120, and 2130. Each processor element alsoincludes four stages: stage 1, 2140; stage 2, 2150; stage 3, 2160, andstage 4, 2170. The first instruction register 2100 is connected throughthe network 650 to the PIQ processor assignment circuit 1570 andreceives that information over bus 2102. The instruction register 2100then controls the operation of stage 1 which includes the hardwarefunctions of instruction decode and register 0 fetch and register 1fetch. The first stage 2140 is interconnected to the instructionregister over lines 2104 and to the second instruction register 2110over lines 2142. The first stage 2140 is also connected over a bus 2144to the second stage 2150. Register 0 fetch and register 1 fetch of stage1 are connected over lines 2146 and 2148, respectively, to network 670for access to the register file 660.

The second instruction register 2110 is further interconnected to thethird instruction register 2120 over lines 2112 and to the second stage2150 over lines 2114. The second stage 2150 is also connected over a bus2152 to the third stage 2160 and further has the memory write (MEMWRITE) register fetch hardware interconnected over lines 2154 to network670 for access to the register file 660 and its condition code (CC)hardware connected over lines 2156 through network 670 to the conditioncode storage of context file 660.

The third instruction register 2120 is interconnected over lines 2122 tothe fourth instruction register 2130 and is also connected over lines2124 to the third stage 2160. The third stage 2160 is connected over abus 2162 to the fourth stage 2170 and is further interconnected overlines 2164 through network 650 to the data cache interconnection network1590.

Finally, the fourth instruction register 2130 is interconnected overlines 2132 to the fourth stage, and the fourth stage has its storehardware (STORE) output connected over lines 2172 and its effectiveaddress update (EFF. ADD.) hardware circuit connected over lines 2174 tonetwork 670 for access to the register file 660. In addition, the fourthstage has its condition code store (CC STORE) hardware connected overlines 2176 through network 670 to the condition code storage of contextfile 660.

The operation of the four-stage pipeline shown in FIG. 21 will now bediscussed with respect to the example of Table 1 and the informationcontained in Table 19 which describes the operation of the processorelement for each instruction.

                  TABLE 19                                                        ______________________________________                                        Instruction I0, (I1):                                                         Stage 1        Fetch Reg to form Mem-adx                                      Stage 2        Form Mem-adx                                                   Stage 3        Perform Memory Read                                            Stage 4        Store R0, (R1)                                                 Instruction I2:                                                               Stage 1        Fetch Reg R0 and R1                                            Stage 2        No-Op                                                          Stage 3        Perform multiply                                               Stage 4        Store R2 and CC                                                Instruction I3:                                                               Stage 1        Fetch Reg R2 and R3                                            Stage 2        No-Op                                                          Stage 3        Perform addition                                               Stage 4        Store R3 and CC                                                Instruction I4:                                                               Stage 1        Fetch Reg R4                                                   Stage 2        No-Op                                                          Stage 3        Perform decrement                                              Stage 4        Store R4 and CC                                                ______________________________________                                    

For instructions I0 and I1, the performance by the processor element 640in FIG. 21 is the same except in stage 4. The first stage is to fetchthe memory address from the register which contains the address in theregister file. Hence, stage 1 interconnects circuitry 2140 over lines2146 through network 670 to that register and downloads it into register0 from the interface of stage 1. Next, the address is delivered over bus2144 to stage 2, and the memory write hardware forms the memory address.The memory address is then delivered over bus 2152 to the third stagewhich reads memory over 2164 through network 650 to the data cacheinterconnection network 1590. The results of the read operation are thenstored and delivered to stage 4 for storage in register R0. Stage 4delivers the data over lines 2172 through network 670 to register R0 inthe register file. The same operation takes place for instruction I1except that the results are stored in register 1. Hence, the four stagesof the pipeline (Fetch, Form Memory Address, Perform Memory Read, andStore The Results) flow data through the pipe in the manner discussed,and when instruction I0 has passed through stage 1, the first stage ofinstruction I1 commences. This overlapping or pipelining is conventionalin the art.

Instruction I2 fetches the information stored in registers R0 and R1 inthe register file 660 and delivers them into registers REG0 and REG1 ofstage 1. The contents are delivered over bus 2144 through stage 2 as ano operation and then over bus 2152 into stage 3. A multiply occurs withthe contents of the two registers, the results are delivered over bus2162 into stage 4 which then stores the results over lines 2172 throughnetwork 670 into register R2 of the register file 660. In addition, thecondition code data is stored over lines 2176 in the condition codestorage of context files 660.

Instruction I3 performs the addition of the data in registers R2 and R3in the same fashion, to store the results, at stage 4, in register R3and to update the condition code data for that instruction. Finally,instruction I4 operates in the same fashion except that stage 3 performsa decrement of the contents of register R4.

Hence, according to the example of Table I, the instructions for PEO,would be delivered from the PIQO in the following order: IO, I2, and I3.These instructions would be sent through the PEO pipeline stages (S1,S2, S3, and S4), based the upon the instruction firing times (T16, T17,and T18), as follows:

                  TABLE 20                                                        ______________________________________                                        PE   Inst     T16    T17    T18  T19    T20  T21                              ______________________________________                                        PE0: 10       S1     S2     S3   S4                                                I2              S1     S2   S3     S4                                         I3                     S1   S2     S3   S4                               PE1: I1       S1     S2     S3   S4                                           PE2: I4       S1     S2     S3   S4                                           ______________________________________                                    

The schedule illustrated in Table 20 is not however possible unless datachaining is introduced within the pipeline processor (intraprocessordata chaining) as well as between pipeline processors (interprocessordata chaining). The requirement for data chaining occurs because aninstruction no longer completely executes within a single time cycleillustrated by, for example, instruction firing time T16. Thus, for apipeline processor, the TOLL software must recognize that the results ofthe store which occurs at stage 4 (T19) of instructions I0 and I1 areneeded to perform the multiply at stage 3 (T19) of instruction I2, andthat fetching of those operands normally takes place at stage 1 (T17) ofinstruction I2. Accordingly, in the normal operation of the pipeline,for processors PE0 and PE1, the operand data from registers R0 and R1 isnot available until the end of firing time T18 while it is needed bystage 1 of instruction I2 at time T17.

To operate according to the schedule illustrated in Table 20, additionaldata (chaining) paths must be made available to the processors, pathswhich exist both internal to the processors and between processors.These paths, well known to those practiced in the art, are the datachaining paths. They are represented, in FIG. 21, as dashed lines 2180and 2182. Accordingly, therefore, the resolution of data dependenciesbetween instructions and all scheduling of processor resources which areperformed by the TOLL software prior to program execution, take intoaccount the availability of data chaining when needed to make availabledata directly from the output, for example, of one stage of the sameprocessor or a stage of a different processor. This data chainingcapability is well known to those practiced in the art and can beimplemented easily in the TOLL software analysis by recognizing eachstage of the pipeline processor as being, in effect, a separateprocessor having resource requirements and certain dependencies, thatis, that an instruction when started through a pipeline will preferablycontinue in that same pipeline through all of its processing stages.With this in mind, the speed up in processing can be observed in Table20 where the three machine cycle times for the basic block are completedin a time of only six pipeline cycles. It should be borne in mind thatthe cycle time for a pipeline is approximately one-fourth the cycle timefor the non-pipeline processor in the illustrated embodiment of theinvention.

The pipeline of FIG. 21 is composed of four equal (temporal) lengthstages. The first stage 2140 performs the instruction decode, determineswhat registers to fetch and store, and performs up to two sourceregister fetches which can be required for the execution of theinstruction.

The second stage 2150 is used by the computational instructions for thecondition code fetch if required. It is also the effective addressgeneration stage for the memory interface instructions.

The effective address operations that are supported in the preferredembodiment of the invention are:

1. Absolute address

The full memory address is contained in the instruction.

2. Register indirect

The full memory address is contained in a register.

3. Register indexed/based

The full memory address is formed by combining the designated registersand immediate data.

a. Rn op K

b. Rn op Rm

c. Rn op K op Rm

d. Rn op Rm op K

where "op" can be addition (+), subtraction (-), or multiplication (*)and "K" is a constant.

As an example, the addressing constructs presented in the matrixmultiply inner loop example are formed from case 3-a where the constant"K" is the length of a data element within the array and the operationis addition (+).

At a conceptual level, the effective addressing portion of a memoryaccess instruction is composed of three basic functions; the designationand procurement of the registers and immediate data needed for thecalculation, the combination of these operands in order to form thedesired address, and if necessary, updating of any one of the registersinvolved. This functionality is common in the prior art and isillustrated by the autoincrement and autodecrement mode of addressingavailable in the DEC processor architecture. See, for example, DEC VAXArchitecture Handbook.

Aside from the obvious hardware support required, the effectiveaddressing is supported by the TOLL software, and impacts the TOLLsoftware by adding functionality to the memory accessing instructions.In other words, an effective address memory access can be interpreted asa concatenation of to operations, the first being the effective addresscalculation and the second being the actual memory access. Thisfunctionality can be easily encoded into the TOLL software by oneskilled in the art in much the same manner as an add, subtract ormultiply instruction would be.

The described effective addressing constructs are to be interpreted asbut one possible embodiment of a memory accessing system. There are aplethora of other methods and modes for generating a memory address thatare known to those skilled in the art. In other words, the effectiveaddressing constructs described above are for design completeness only,and are not to be construed as a key element in the design of thesystem.

Referring to FIG. 22, various structures of data or data fields withinthe pipeline processor element of FIG. 21 are illustrated for a systemwhich is a multi-user system in both time and space. As a result, acrossthe multiple pipelines, instructions from different users may beexecuting, each with its own processor state. As the processor state isnot typically associated with the processor element, the instructionmust carry along the identifiers that specify this state. This processorstate is supported by the LRD, register file and condition code fileassigned to the user.

A sufficient amount of information must be associated with eachinstruction so that each memory access, condition code access orregister access can uniquely identify the target of the access. In thecase of the registers and condition codes, this additional informationconstitutes the absolute value of the procedural level (PL) and contextidentifiers (CI) and is attached to the instruction by the SCSMattachment unit 1650. This is illustrated in FIGS. 22a, 22b, and 22crespectively. The context identifier portion is used to determine whichregister or condition code plane (FIG. 6) is being accessed. Theprocedural level is used to determine which procedural level ofregisters (FIG. 13) is to be accessed.

Memory accesses also require that the LRD that supports the current userbe identified so that the appropriate data cache can be accessed. Thisis accomplished through the context identifier. The data cache accessfurther requires that a process identifier (PID) for the current user beavailable to verify that the data present in the cache is indeed thedata desired. Thus, an address issued to the data cache takes the formof FIG. 22d. The miscellaneous field is composed of additionalinformation describing the access, for example, read or write, user orsystem, etc.

Finally, due to the fact that there can be several users executingacross the pipelines during a single time interval, information thatcontrols the execution of the instructions, and which would normally bestored within the pipeline, must be associated with each instructioninstead. This information is reflected in the ISW field of aninstruction word as illustrated in FIG. 22a. The information in thisfield is composed of control fields like error masks, floating pointformat descriptors, rounding mode descriptors, etc. Each instructionwould have this field attached, but, obviously, may not require all theinformation. This information is used by the ALU stage 2160 of theprocessor element.

This instruction information relating to the ISW field, as well as theprocedural level, context identification and process identifier, areattached dynamically by the SCSM attacher (1650) as the instruction isissued from the instruction cache.

Although the system of the present invention has been specifically setforth in the above disclosure, it is to be understood that modificationsand variations can be made thereto which would still fall within thescope and coverage of the following claims.

We claim:
 1. A parallel processor system for processing naturalconcurrencies in streams of low level instructions contained in aplurality of programs in said system, each of said streams having aplurality of single entry-single exit (SESE) basic blocks (BBs), saidsystem comprising:means (160) for statically adding intelligence to eachinstruction in each of said plurality of basic blocks for each saidprogram, said added intelligence at least having a logical processornumber (LPN) and an instruction firing time (IFT), a plurality ofcontext files (660), each of said context files being assigned to one ofsaid plurality of programs for processing one of said programs, each ofsaid context files having at least a plurality of registers andcondition code storage for containing processing status information, aplurality of logical resource drivers (LRDs), each logical resourcedriver being assigned to one of said plurality of context files, each ofsaid logical resource drivers being receptive of said basic blockscorresponding to the program instruction stream of said assigned programfrom said adding means, each of said logical resource driverscomprising:(a) a plurality of queues (1730), and (b) means operative onsaid plurality of said basic blocks containing said intelligence fromsaid adding means for delivering said instructions in each said basicblock into said plurality of queues based on said logical processornumber, said instructions in each said queue being entered according tosaid instruction firing time wherein the earliest instruction firingtime is entered first, a plurality of individual processor elements(PEs), each of said processor elements being free of any contextinformation, means (650) connecting said plurality of processor elementsto said plurality of logical resource drivers for transferring saidinstruction with the earliest instruction firing time, first in saidqueues, from each of said logical resource drivers, in a predeterminedorder, to individually assigned processor elements, each said processorelement having means for processing said transferred instruction, firstmeans (670) for connecting each of said processor elements with any oneof said plurality of context files, each of said processor elementshaving means for accessing any of a plurality of registers and conditioncode storage in a program's context file during the processing of theprogram's instruction, a plurality of memory locations (610), and secondmeans including said logical resource drivers for connecting each ofsaid processor elements with any one of said plurality of memorylocations, each said processor element having means for accessing saidmemory locations during said processing of each said instruction.
 2. Aparallel processor system for processing natural concurrence in streamsof low level instructions contained in a plurality of programs in saidsystem, each of said streams having a plurality of single entry-singleexit (SESE) basic blocks (BBs), said system comprisingmeans (160) forstatically adding intelligence to each instruction in each of saidplurality of basic blocks for each of said programs, said addedintelligence representing at least a logical processor number (LPN) andan instruction firing time (IFT), a plurality of context files (660),each of said context files being assigned to one of said plurality ofprograms for processing one of said programs, each of said context fileshaving at least a plurality of registers and a condition code storagefor containing processing status information, a plurality of logicalresource drivers (LRDs), each logical resource driver being assigned toone of said plurality of context files, each of said logical resourcedrivers being receptive of said basic blocks corresponding to theprogram instruction stream of said assigned program from said addingmeans, each of said logical resource drivers comprising:(a) a pluralityof queues (1730), and (b) means operative on said plurality of saidbasic blocks containing said intelligence from said adding means fordelivering said instructions in each said basic block into saidplurality of queues based on said logical processor number, saidinstructions in each said queue being entered according to saidinstruction firing time wherein the earliest instruction firing time isentered first, a plurality of context free individual processor elements(PEs), means (650) connecting said plurality of processor elements tosaid plurality of logical resource drivers for transferring saidinstructions from each of said logical resource drivers, in apredetermined order, to individually assigned processor elements, eachsaid processor element having means for processing said transferredinstruction, first means (670) for connecting each of said processorelements with any one of said plurality of context files, each of saidprocessor elements having means for accessing any of a plurality ofregisters and condition code storages in a program's context file duringsaid processing of the program's instruction, a plurality of memorylocations (610), and second means including said logical resourcedrivers for connecting each of said processor elements with any one ofsaid plurality of memory locations, each said processor element havingmeans for accessing said memory locations during said processing of eachsaid instruction.
 3. A parallel processor system for processing naturalconcurrencies in streams of low level instructions contained in aplurality of programs in said system, each of said streams having aplurality of single entry-single exit (SESE) basic blocks (BBs), saidsystem comprising:means (160) for statically adding intelligence to eachinstruction in each of said plurality of basic blocks for each of saidprograms, said added intelligence representing at least a logicalprocessor number (LPN) and an instruction firing time (IFT), a pluralityof context files (660), each of said context files being assigned to oneof said plurality of programs for processing one of said programs, eachof said context files having a plurality of registers and a conditioncode storage for containing processing status information, a pluralityof logical resource drivers (LRDs), each logical resource driver beingassigned to one of said plurality of context files, each of said logicalresource drivers being receptive of said basic blocks corresponding tothe program instruction stream of said assigned program from said addingmeans for storing said instructions, and fetching, in order of saidinstruction firing time, said instructions in each basic block, anddelivering said instructions according to the logical processor numberfor each instruction, a plurality of individual context free processorelements (PEs), means (650) connecting said plurality of processorelements to said plurality of logical resource drivers for transferringsaid instructions from each of said logical resource drivers, in apredetermined order, to individually assigned processor elements, eachsaid processor element having means for processing said transferredinstruction, first means (670) for connecting each of said processorelements with any one of said plurality of context files, each of saidprocessor elements having means for accessing any of a plurality ofregisters and condition code storage in a program's context file duringsaid processing of the program's instruction, a plurality of memorylocations (610), and second means including said logical resourcedrivers for connecting each of said processor elements with any one ofsaid plurality of memory locations, each said processor element havingmeans for accessing said memory locations during said processing of eachsaid instruction.
 4. The parallel processor system according to claims1, 2, or 3 in which:said adding means further has means for staticallyadding shared context storage mapping (S-SCSM) information to saidinstructions, said statically added shared context storage informationcontaining level information for each said instruction in order toidentify the different program levels contained within each saidprogram, said context files having a different set of registers for eachsaid program level, said logical resource drivers dynamically addingshared context storage mapping information to said instructions inresponse to said statically added information for identifying subroutinelevels of the program, said dynamically added shared context storagemapping information corresponding to said sets of registers, and saidprocessor elements further having means for processing its instructionsusing sets of registers identified by said dynamically added sharedcontext storage mapping information.
 5. The parallel processor systemaccording to claim 1, 2, or 3 in which:each of said logical resourcedrivers further comprises means for dynamically adding shared contextstorage mapping (D-SCSM) information to each said instruction, saiddynamically added shared context storage information containing theidentity of the context file assigned to the program contained withineach said logical resource driver, each of said context files beingassigned to one of said logical resource drivers, each said context filebeing identified by said dynamically added shared context storagemapping information, and said processor elements further having meansfor processing each of its instructions in the context file identifiedby said dynamically added shared context storage mapping information. 6.A parallel processor system for processing natural concurrencies instreams of low level instructions contained in a plurality of programsin said system, each of said streams having a plurality of singleentry-single exit (SESE) basic blocks (BBs), said systemcomprising:means (160) for adding intelligence to each instruction ineach of said plurality of basic blocks, said added intelligencerepresenting at least a logical processor number (LPN) and aninstruction firing time (IFT), a plurality of context files (660), eachof said context files being assigned to one of said plurality ofprograms, each of said context files having a plurality of registerresources, a plurality of logical resource drivers (LRDs), each logicalresource driver being assigned to one of said plurality of contextfiles, each of said logical resource drivers being receptive of saidbasic blocks corresponding to the instruction stream of said assignedprogram from said adding means for storing said instructions in eachbasic block according to the logical processor number for eachinstruction, a plurality of individual context free processor elements(PEs), means (650) connecting said plurality of processor elements tosaid plurality of logical resource drivers for transferring saidinstructions from each of said logical resource drivers, in apredetermined order according to the instruction firing time, toindividually assigned processor elements, each said processor elementhaving means for processing said transferred instruction, first means(670) for connecting each of said processor elements with any one ofsaid plurality of context files, each said processor element havingmeans for accessing said resources in a program's context file duringsaid processing of the program's instruction, a plurality of memorylocations (610), and second means including said logical resourcedrivers for connecting each of said processor elements with any one ofsaid plurality of memory locations, each said processor element havingmeans for accessing said memory locations during said processing of eachsaid instruction.
 7. A parallel processor system for processing naturalconcurrencies in streams of low level instructions contained in aplurality of programs in said system, each of said streams having aplurality of single entry-single exit (SESE) basic blocks (BBs), saidsystem comprising:means (160) for adding intelligence to eachinstruction in each of said plurality of basic blocks, a plurality ofcontext files (660), each of said context files being assigned to atleast one of said plurality of programs each of said context fileshaving a plurality of register resources, a plurality of logicalresource drivers (LRDs) with each logical resource driver being assignedto one of said plurality of context files, each of said logical resourcedrivers being receptive of said basic blocks corresponding to theprogram instruction stream of said at least one assigned program fromsaid adding means for storing said instructions in each basic block, aplurality of individual processor elements (PEs), means (650) connectingsaid plurality of processor elements to said plurality of logicalresource drivers for transferring said instructions from each of saidlogical resource driver to individually assigned processor elements inaccordance with said added intelligence added to the instructions, firstmeans (670) for connecting each of said processor elements to any one ofsaid plurality of context files, each said processor element havingmeans for accessing any resource in a program's context file during saidprocessing of the program's instruction, a plurality of memory locations(610), and second means including said logical resource drivers forconnecting each of said processor elements with any one of saidplurality of memory locations, each said processor element having meansfor accessing said memory locations during said processing of each saidinstruction.
 8. The parallel processor system according to claims 6 or 7in which:said adding means further has means for adding to each saidinstruction, information containing level information for each saidinstruction for identifying different program levels contained withineach said program, said context files have a different set of registerresources for each said program level, each said set of resources isidentified by said added information, and said processor elementsfurther have means for processing each of its instructions in a set ofregister resources identified by said added information.
 9. The parallelprocessor system according to claims 6 or 7 in whicheach of said logicalresource drivers further comprises means for adding information to eachsaid instruction, said added information containing the identity of thecontext file assigned to the programs contained within each said logicalresource driver, each of said context files is assigned to one of saidlogical resource drivers, each said context file being identified bysaid added information, and said processor elements further have meansfor processing each of its instructions using the context fileidentified by said added information.
 10. A parallel processor systemfor processing natural concurrencies in streams of low levelinstructions contained in a plurality of programs in said system, atleast one of said programs having a plurality of different programlevels, each of said streams having a plurality of single entry-singleexit (SESE) basic blocks (BBs), said system comprising:means for addingintelligence to each instruction in each of said plurality of basicblocks, said added intelligence containing program level information foreach said instruction to identify the different program levels containedwithin each said program, a plurality of context files (660), each ofsaid context files being assigned at least one of said plurality ofprograms, each of said context files having a plurality of registerresources with a different set of register resources for each saidprogram level, each said set of resources being identified by said addedintelligence, a plurality of logical resource drivers (LRDs), eachlogical resource driver being assigned to one of said plurality ofcontext files, each of said logical resource drivers being receptive ofsaid basic blocks corresponding to the program instruction stream ofsaid at least one assigned program from said adding means for storingsaid instructions of each basic block of the assigned programinstruction stream, each of said logical resource drivers further havingmeans for adding information to each said instruction, said addedinformation containing the identity of the context file assigned to theprograms contained within each said logical resource driver, a pluralityof individual processor elements (PEs), means (650) connecting saidplurality of processor elements to said plurality of logical resourcedrivers for transferring said instructions from each of said logicalresource drivers to individually assigned processor elements, firstmeans (670) for connecting each of said processor elements to any one ofsaid plurality of context files, each said processor element havingmeans for accessing a set of resources, as identified by said addedintelligence, in a program's context file as identified by said addedinformation, during said processing of the program's instruction, aplurality of memory locations (610), and second means including saidlogical resource drivers for connecting each of said processor elementswith any one of said plurality of memory locations, each said processorelement having means for accessing said memory locations during saidprocessing of each said instruction.
 11. A parallel processor system forprocessing natural concurrencies in streams of low level instructionscontained in a program, each of said streams having a plurality ofsingle entry-single exit (SESE) basic blocks (BBs), said systemcomprising:means (160) for statically adding intelligence to eachinstruction in each of said plurality of basic blocks, said addedintelligence representing at least a logical processor number (LPN) andan instruction firing time (IFT) for the instructions, a logicalresource driver (LRD) receptive of said basic blocks corresponding tothe program instruction stream from said adding means for storing saidinstructions and said logical resource driver further having means forfetching, in order of said instruction firing time, said instructions ineach basic block, and delivering said instructions according to thelogical processor number for each instruction, a plurality of individualcontext free processor elements (PEs), means (650) connecting saidplurality of processor elements with said logical resource driver fortransferring said instructions from said logical resource driver toindividually assigned processor elements, each said processor elementhaving means for processing said transferred instruction, a plurality ofshared storage resources (660) first means (670) for connecting each ofsaid processor elements with any one of said plurality of resources,each of said processor elements having means for accessing any one ofsaid resources during said instruction processing, a plurality of memorylocations (610), and second means including said logical resourcedrivers for connecting each of said processor elements with any one ofsaid plurality of memory locations, each said processor element havingmeans for accessing said memory locations during said instructionprocessing.
 12. A parallel processor system for processing naturalconcurrencies in streams of low level instructions contained in aprogram, each of said streams having a plurality of single entry-singleexit (SESE) basic blocks (BBs), said system comprising:means (160) forstatically adding intelligence to each instruction in each of saidplurality of basic blocks, said added intelligence representing at leasta logical processor number (LPN) and an instruction firing time (IFT), alogical resource driver (LRD) receptive of said basic blockscorresponding to the program instruction stream from said adding meansfor storing said instructions and said logical resource driver furtherhaving means for fetching, in order of said instruction firing time,said instructions in each basic block, and delivering said instructionsaccording to the logical processor number for each instruction, aplurality of individual processor elements (PEs), first means (650)connecting said plurality of processor elements with said logicalresource driver for transferring said instructions from said logicalresource driver to individually assigned processor elements, each saidprocessor element having means for processing said transferredinstruction, a plurality of shared storage resources (660), and secondmeans (670) for connecting each of said processor elements with any oneof said plurality of shared storage resources, each of said processorelements having means for acessing any one of said shared storageresources during said instruction processing.
 13. A parallel processorsystem for processing natural concurrencies in streams of low levelinstructions contained in a program, each of said streams having aplurality of single entry-single exit (SESE) basic blocks (BBs), saidsystem comprising:means (160) for statically adding intelligence to eachinstruction in each of said plurality of basic blocks, a logicalresource driver (LRD) receptive of said basic blocks corresponding tothe program instruction stream from said adding means for storing saidbasic blocks, a plurality of individual context free processor elements(PEs), means (650) connecting said plurality of processor elements withsaid logical resource driver for transferring said instructions fromsaid logical resource driver to individually assigned processor elementsin accordance with the added intelligence in the instructions, each saidprocessor element having means for processing said transferredinstruction, a plurality of shared storage resources (660), and means(670) for connecting each of said processor elements with any one ofsaid plurality of shared storage resources in accordance with the addedintelligence in the instructions, each of said shared storage resourcesduring said instruction processing.
 14. The parallel processor systemaccording to claims 11, 12, or 13 in which:said adding means further hasmeans for statically adding program level information to each saidinstruction to identify the different program levels contained withineach said program, said shared storage resources have a different set ofresources for each said program level, each said set of resources isidentified by said statically added level information, and each saidprocessor element further has means for processing each of itsinstructions in a set of resources identified by said statically addedlevel information.
 15. A method for parallel processing in a pluralityof processor elements natural concurrencies in streams of low levelinstructions contained in the programs of a plurality of users, each ofthe streams having a plurality of single entry-single exit (SESE) basicblocks (BBs), said method comprising the steps of:statically addingintelligence representing the natural concurrencies existing within theinstructions in each basic block of the programs, said step of addingfor each program comprising the steps of:(a) ascertaining the resourcerequirements of each instruction within each basic block to determinethe natural concurrencies in each basic block, (b) identifying logicalresource dependencies between instructions, (c) assigning condition codestorage (CCs) to groups of resource dependent instructions, so thatdependent instructions can execute on the same or different processorelements, (d) determining the earliest possible instruction firing time(IFT) for each of said instructions in each of said plurality of basicblocks, (e) adding said instruction firing times to each instruction ineach of said plurality of basic blocks, (f) assigning a logicalprocessor number (LPN) to each instruction in each of said basic blocks,(g) adding said logical processor numbers to each instruction in each ofsaid basic blocks, and (h) repeating steps (a) through (g) until allbasic blocks are processed for each of said programs, and processing theinstruction having the statically added intelligence for the programs,the step of processing further comprising the steps of:(i) deliveringthe instructions into logical resource drivers, each said program of auser being assigned to a different logical resource driver, (j)selecting instructions from the logical resource drivers in apredetermined order based on the instruction firing time, (k) storingthe selected instructions in queues of the logical resource driver basedon the logical processor number, (l) generating dynamic shared contextstorage mapping (D-SCSM) information for each instruction, (m)selectively connecting the queues of each logical resource driver toprocessor elements (PEs) said queues being connected in a predeterminedorder so that one instruction having the earliest instruction firingtime from each queue is first delivered to a given processor element,(n) processing said one instruction from each queue in each saidconnected processor element, (o) obtaining the input data for processingsaid delivered instruction from shared storage locations identified bysaid instruction in a context file identified by said dynamic sharedcontext storage mapping information, (p) storing the results of saidprocessing of said delivered instruction in shared storage identified bysaid dynamic information contained in said instruction, and (q)repeating steps (i) through (p) until all instructions in each of saidplurality of basic blocks for all said programs are processed.
 16. Themethod of claim 15 wherein said step of statically adding intelligencefurther comprises the step of re-ordering said instructions in each ofsaid basic blocks based upon said instruction firing times wherein theearliest firing times are listed first.
 17. The method of claim 15wherein said step of statically adding intelligence further comprisesthe step of adding static shared context storage mapping information(S-SCSM) to each instruction to identify the relative program levelsassociated with said instructions and wherein said step of obtaininginput further comprises the step of obtaining said input data from ashared stored location procedural level identified at least in part bythe aforesaid dynamically added information.
 18. The method of claim 15wherein said step of statically adding intelligence further comprisesthe step of adding static shared context storage mapping (S-SCSM)information to each instruction to identify the program level of saidinstruction.
 19. A method for parallel processing natural concurrenciesin streams of low level instructions contained in the programs of aplurality of users located in a system having a plurality of processorelements and shared storage locations, each of the streams having aplurality of single entry-single exit (SESE) basic blocks (BBs), saidmethod comprising the steps of:statically adding intelligence to theinstructions in each basic block of the programs, said addedintelligence identifying the natural concurrencies within each basicblock, said added intelligence having a least an instruction firing time(IFT) and a logical processor number (LPN), and processing theinstructions having the statically added intelligence for executing theprograms, the step of processing further comprising the steps of:(a)delivering the instructions into the system, each said user beingassigned to a different context file in said system, (b) dynamicallygenerating shared context state mapping (D-SCSM) information for eachinstruction identifying said context file containing shared storagelocations, (c) separately storing the delivered instructions in thesystem based on the logical processor number (LPN), (d) selectivelyconnecting the separately stored instructions to the processor elementsassigned to the logical processor number for the instructions, saidseparately stored instructions being delivered in a predetermined orderso that one instruction having the earliest instruction firing time fromeach of the separately stored instructions is delivered to a givenprocessor element, (e) processing said one instruction from eachconnected separately stored instructions in each said connectedprocessor element, (f) obtaining the input data for processing saidconnected instruction from a shared storage location identified at leastin part by said shared context storage mapping information, (g) storagethe results of said processing of said connected instruction in a sharedstorage location identified in part by said shared context storagemapping information, and (h) repeating steps (a) through (g) until allinstructions of each of said plurality of basic blocks for all of saidprograms are processed.
 20. A method for parallel processing, in asystem, natural concurrencies in streams of low level instructionscontained in a program, each of the streams having a plurality of singleentry-single exit (SESE) basic blocks (BBs), said system having aplurality of processor elements and a plurality of shared storagelocations, said method comprising the steps of:statically addingintelligence representing the natural concurrencies existing within theinstructions in each basic block, said step of adding comprising thesteps of:(a) ascertaining the resource requirements of each instructionwithin each basic block to determine the natural concurrencies in eachbasic block, (b) identifying logical resource dependencies betweeninstructions, (c) assigning condition code storage (CCs) to groups ofresource dependent instructions, such that dependent instructions canexecute on the same of different processor elements, (d) determining theearliest possible instruction firing time (IFT) for each of saidinstructions in each of said plurality of basic blocks, (e) adding saidinstruction firing times to each instruction in each of said pluralityof basic blocks, (f) assigning a logical processor number (LPN) to eachinstruction in each of said basic blocks, (g) adding said logicalprocessor numbers to each instruction in each of said basic blocks, and(h) repeating steps (a) through (g) until all basic blocks are processedfor said program, and processing the instructions having the staticallyadded intelligence in the system, the step of processing furthercomprising the steps of:(i) separately storing instructions delivered inthe system based on the logical processor number, (j) selectivelyconnecting the separately stored instructions to the processor element(PE) assigned to the logical processor number, said separately storedinstructions being delivered in a predetermined order so that oneinstruction having the earliest instruction firing time is connected toa given processor element, (k) processing said one instruction from eachof the separately stored instructions in each said connected processorelement, and (l) repeating steps (i) through (k) until all instructionsin each of said plurality of basic blocks for said program areprocessed.
 21. A method for parallel processing, in a system, naturalconcurrencies in streams of low level instructions contained in aprogram, each of the streams having a plurality of single entry-singleexit (SESE) basic blocks (BBs), said system having a plurality ofprocessor elements and a plurality of shared storage locations, saidmethod comprising the steps of:statically adding intelligencerepresenting the natural concurrencies existing within the instructionsin each basic block, said step of adding comprising the steps of:(a)determining the earliest possible instruction firing time (IFT) for eachof said instructions in each of said plurality of basic blocks, (b)adding said instruction firing times to each instruction in each ofplurality of basic blocks, (c) assigning a logical processor number(LPN) to each instruction in each of said basic blocks, and (d) addingsaid logical processor numbers to each instruction in each of said basicblocks, and processing the instructions having the statically addedintelligence, the step of processing further comprising the steps of:(e)separately storing instructions delivered in the system based on thelogical processor number, (f) selectively connecting said separatelystored instructions to processor elements (PEs) assigned to a givenlogical processor number, said instructions connected in a predeterminedorder so that one instruction having the earliest instruction firingtime from each of said separately stored instructions is connected to agiven processor element, (g) processing said one connected instructionin each said connected processor element, (h) obtaining the input datafor processing said connected instruction from a shared storage locationidentified by said instruction, (i) storing the results of saidprocessing of said connected instruction in a shared storage locationidentified by said instruction, and (j) repeating steps (e) through (i)until all instructions are processed in each of said plurality of basicblocks for said program.
 22. A method for parallel processing naturalconcurrencies in a program in a system having a plurality of processorelements (PEs), said processor element having access to input datalocated in a plurality of shared resource locations, said program havinga plurality of single entry-single exit (SESE) basic blocks (BBs) witheach of said basic blocks (BBs) having a stream of instructions, saidmethod comprising the steps of:ascertaining the resource requirements ofeach instruction within each of said basic blocks, identifying logicalresource dependencies between instructions, assigning condition codestorage (CCs) to groups of resource dependent instructions, such thatdependent instructions can execute on the same of different processorelements, determining the earliest possible instruction firing time(IFT) for each of the instructions in said plurality of basic blocks,adding said instruction firing times (IFTs) to each instruction in eachof said plurality of basic blocks in response to said determination,assigning a logical processor number (LPN) to each instruction in eachof said basic blocks, adding said assigned logical processor number(LPN) to each instruction in each of said plurality of basic blocks inresponse to said assignment, separately storing the instructions, withsaid added instruction firing time and said added logical processornumbers, based on the logical processor number, each group of saidseparately stored instructions containing instructions having only thesame logical processor number, selectively connecting said separatelystored instructions to said processor elements based on the logicalprocessor number, and each said processor element receiving theinstruction in said connected group having the earliest instructionfiring time first, said processor element having means for performingthe steps of:(a) obtaining input data for processing said receivedinstruction from a shared storage location in said plurality of sharedresource locations identified by said instruction, (b) storing theresults based upon the aforesaid step of processing in a shared storagelocation in said plurality of shared resource locations identified bysaid received instruction, and (c) repeating the aforesaid steps (a) and(b) for the next received instruction until all instructions areprocessed.
 23. The method of claim 22 further comprising the steps offorming execution set of basic blocks in response to said steps ofadding said instruction firing times and logical processor numberswherein branches from any given basic block within a given execution setto a basic block in another execution set is statistically minimized.24. The method of claim 22 further comprising the step of:adding sharedcontext storage mapping information to each instruction, and whereinsaid step of processing comprises the step of processing eachinstruction requiring at least one set of shared resources, said atleast one set being identified by said shared context storage mappinginformation, so each program routine can access, in addition to theroutine's set of procedural level resources, at least one other set ofresources.
 25. A method for parallel processing instructions of aprogram having natural concurrencies with a plurality of processorelements (PEs), said processor elements having access to input datalocated in a plurality of shared resource locations, said program havinga plurality of single entry-single exit (SESE) basic blocks (BBs) witheach of said basic blocks (BBs) having a stream of method instructions,said method comprising the steps of:ascertaining the resourcerequirements of each instruction within each of said basic blocks,identifying logical resource dependencies between instructions,assigning condition code storage (CCs) to groups of resource dependentinstructions, such that dependent instructions can execute on the sameor different processor elements, determining the earliest possibleinstruction firing time (IFT) for each of the instructions in each ofsaid plurality of basic blocks, adding said instruction firing times toeach instruction in each of said plurality of basic blocks in responseto said determination, assigning a logical processor number (LPN) toeach instruction in each of said basic blocks, adding said assignedlogical processor number to each instruction in each of said pluralityof basic blocks in response to said assignment, forming execution sets(ESs) of basic blocks in response to said steps of adding saidinstruction firing times and logical processor numbers,(i) separatelystoring the instructions contained within a given formed execution setbased on the logical processor number, each group of said separatelystored instructions containing instructions having only the same logicalprocessor number, (ii) selectively connecting said separately storedinstructions to said processor elements elements based on the logicalprocessor number, (iii) each said processor element receiving theinstruction having the earliest instruction firing time (IFT) first,said processor element having means for performing the steps of:(a)obtaining input data for processing said received instruction from ashared storage location in said plurality of shared resource locationsas identified by said instruction, (b) storing the results based uponthe aforesaid step of processing in a shared storage location in saidplurality of shared resource locations as identified by saidinstruction, (c) repeating the aforesaid steps (a) and (b) for the nextreceived instruction until all instructions are processed, and (iv)repeating the aforesaid steps (i) through (iii) for all execution setsthat are processed.
 26. A system for parallel processing naturalconcurrencies in a program, said program having a plurality of singleentry-singe exit (SESE) basic blocks (BBs) wherein each of said basicblocks contains a stream of instructions, said system comprising:means(160) receptive of said plurality of basic blocks for determining saidnatural concurrencies within said instruction stream for each of saidbasic blocks, said determining means further having means for addingtiming and processor information to each instruction in response to saiddetermined natural concurrencies so that all processing resourcesrequired by any given instruction are allocated in advance of programexecution, means (620) receiving said basic blocks (BBs) of instructionshaving said added timing and processor information for storing saidreceived instructions, a plurality of processor elements (PEs), means(650) for selectively connecting said plurality of processor elements tosaid storing means, a plurality of shared resource (660), means (670)for selectively interconnecting said plurality of processor elements(PEs) with said plurality of shared resources (660), said storing meanshaving means for delivering instructions in order of the earliest firingtime first, based upon said firing timing information, to the processorelements over said connecting means and into said processor elements,and said processor elements having means for processing each receivedinstruction from said storing means (620), said processor elements beingconnected to the shared resources identified by each said instructionand wherein all resource information and context information pertainingto said instruction are each stored in one of said plurality of sharedresources and said storing means (620).
 27. The parallel processorsystem of claim 26 in which:said determining means further has means foradding program level information to said instructions, said informationcontaining relative level information for each said instruction in orderto identify the different program levels associated with registers usedwithin said program, said shared resources having a different set ofregisters associated with each program level, and said processorelements further having means for processing each of its receivedinstructions using at least one set of registers identified by saidreceived instructions.
 28. The system of claim 26 wherein saiddetermining means further comprises means for forming execution sets(ESs) from the basic blocks containing said added timing and processorinformation wherein branches from any given basic block within a givenexecution set out of said given execution set to a basic block inanother execution set is statistically minimized.
 29. The system ofclaim 28 wherein said determining means further has means for attachingheader information to each formed execution set, said header at leastcomprising:(a) the address of the start of said instructions, and (b)the length of the execution set.
 30. The system of claim 26 wherein saidstoring means further comprises:a plurality of caches (1522) receptiveof said execution sets for storing said instructions, means (1544, 1560,1570, 650) connected to said caches for delivering said instructionsstored in each of said caches to said plurality of processor elements,and means (1512, 1518, 1548) connected to said caches and saiddelivering means for controlling said storing and said delivery ofinstructions, said controlling means further having means for executingthe branches from individual basic blocks.
 31. The system of claim 26wherein said determining means further comprises means for adding levelinformation to instructions pertaining to the different program levelscontained within said program, and wherein each said processor elementhas means for processing each of its received instructions using a setof shared resources identified by each said instruction's levelinformation.
 32. The system of claim 26 wherein each of said pluralityof processor elements is context free in processing a given instruction.33. The system of claim 32 wherein said plurality of shared resourcescomprises:a plurality of register files, and a plurality of conditioncode files, said plurality of register files and said plurality ofcondition code files together with said storing means (620) having meansfor storing all necessary context data for processing any giveninstruction.
 34. A system for parallel processing natural concurrenciesin a program, said program having a plurality of single entry-singleexit (SESE) basic blocks (BBs) wherein each of said basic blocks (BBs)contains a stream of instructions, said system comprising:means (160)receptive of said plurality of basic blocks for determining said naturalconcurrencies within said instruction stream for each of said basicblocks, said determining means further having means for adding timing,processor, and resource access information to each instruction inresponse to said determined natural concurrencies so that all processingresources required by any given instruction are allocated in advance ofinstruction execution, said determining means further having means forforming basic blocks into execution set (ESs) containing said addedinstruction firing times and logical processor numbers, wherein branchesfrom any given basic block within a given execution set out of saidgiven execution set to a basic block in another execution set isstatistically minimized, means (620) receptive of said execution setshaving said added information for storing said instructions, a pluralityof context-free processor elements connected to said storing means, anda plurality of shared resources connected to said plurality ofcontext-free processor elements, said processor elements having meansfor processing its instructions based upon said processor number,timing, and resource access information from said storing means, saidprocessor elements having means for obtaining all necessary context datafrom said plurality of shared resources based upon location data setforth in said instructions for processing said instruction and havingmeans for delivering all necessary context data to said plurality ofshared resources at locations based upon and identified in saidinstructions.
 35. A parallel processor system for processing streams oflow level instructions contained in a plurality of programs in saidsystem, each of said streams having a plurality of single entry-singleexit basic blocks, said system comprising:means (160) for addingintelligence to the instruction streams in response to detected naturalconcurrencies therein, a plurality of context files, each of saidplurality of programs being assigned to one of said context files, eachof said context files having a plurality of register resources, aplurality of logical resource drivers, each logical resource driverbeing assigned to one of said plurality of context files, each of saidlogical resource drivers being receptive of said basic blocks of atleast one corresponding program instruction stream from said addingmeans for storing said instructions of each basic block, a plurality ofindividual processor elements, means for selectively connecting any ofsaid plurality of processor elements to any of said plurality of logicalresource drivers for transferring said instructions from each of saidlogical resource drivers to individually assigned processor elements inaccordance with said added intelligence in the instructions, first meansfor connecting each of said processor elements to any one of saidplurality of context files, each said processor element having means foraccessing any resource in a program's context file for reading andwriting data during said processing of the program's instructions, aplurality of memory locations (610), and second means for connectingeach of said logical resource drivers with any one of said plurality ofmemory locations, each said logical resource driver having means foraccessing said memory locations during said processing of each saidinstruction.
 36. A parallel processor system for processing streams oflow level instructions contained in a plurality of programs, each ofsaid streams having a plurality of single-entry-single exit basicblocks, said system comprising:means for adding intelligence to saidinstruction streams, said added intelligence containing subroutine levelinformation for said instructions to specify the relative subroutineregister accesses contained within each said program, a plurality ofcontext files, each of said plurality of programs being assigned to oneof said context files, each of said context files having a plurality ofregister resources with one set of register resources for each saidsubroutine program level, each said set of resources being identifiedwith a different subroutine level, a plurality of logical resourcedrivers, each logical resource driver being associated with one of saidplurality of context files, each of said logical resource drivers beingreceptive of said basic blocks corresponding to the program instructionstream of said at least one assigned program from said adding means forstoring said instructions of each basic block, each of said logicalresource drivers further having means for adding information to eachsaid instruction, said added information to each said instruction, saidadded information containing the identity of the context file assignedto the programs contained within each said logical resource driver and,in response to the added intelligence, the level of any subroutineaccess of the context files by the processor, a plurality of individualprocessor elements, means connecting said plurality of processorelements and said plurality of logical resource drivers for transferringsaid instructions from each of said logical resource drivers toindividually assigned processor elements, and first means (670) forconnecting each of said processor elements with any one of saidplurality of context files, each said processor element having means foraccessing a set of resources, in a program's context file as identifiedby said added information, during said processing of the program'sinstruction in the logical resource drivers.
 37. A multiprocessor systemfor processing a plurality of programs of different users, said systemcomprising:a plurality of logical resource drivers, each said logicalresource driver being operative on at least one of said programs fordynamically adding information during program execution to instructionsof said one program, said information identifying at least the usercontext file for said one program, a plurality of set of sharedresources, each of said sets being assigned to a given context file, anda plurality of processor elements for processing said programs, saidprocessor elements being connected to said plurality of sets of sharedresources and connected to said logical resource drivers for receivinginstructions in a determined order, each of said plurality of logicalresource drivers having means for delivering an instruction to anyprocessor element, each of said processor elements being selectivelyinterconnected with that set of the shared resources identified by saiduser context information added to the instruction then being processedin order to access all data necessary for processing said instruction.